完善目录结构

完善了目录结构，添加了以前的web段com组件调用的代码（在/测试目录下）（部署没有使用到）
2017-05-17 20:43:16 +08:00
parent ad754709a5
commit 6dcd378738
1246 changed files with 671388 additions and 517 deletions
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/Cjbsb.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/Cjbsb.cpp
@@ -0,0 +1,50 @@
+/* 	程序名：Cjbsb.c
+功能：读入图像文件，甄别图像的角标
+*/
+#include <cv.h>  
+#include <highgui.h> 
+#include <stdlib.h>
+#include <stdio.h>
+
+extern IplImage* src;
+
+IplImage* Cjbsb(IplImage* img, IplImage* imgjbsb, int jbwhite, int jbblack)
+{
+	/*定义变量*/
+	int i, j, jbi = 0, jbj = 0;
+	int height, width, step, channels;
+	uchar *data;
+	int brklab = 0;
+	/* 获取图像信息*/
+	height = img->height;
+	width = img->width;
+	step = img->widthStep;
+	channels = img->nChannels;
+	data = (uchar *)img->imageData;
+
+	//    IplImage* imgjbsb = cvCreateImage(cvGetSize(img),img->depth,img->nChannels);
+	cvCopy(img, imgjbsb, NULL);
+	uchar *imgjbsbdata = (uchar *)imgjbsb->imageData;
+
+	//以角标为起点进行裁剪与画框
+	CvSize jbcjsize = cvSize(835, 165);           //角标裁剪框的大小，宽为835象素，高为165象素
+	IplImage* imgjbcj = cvCreateImage(jbcjsize, img->depth, img->nChannels);
+	uchar *imgjbcjdata = (uchar *)imgjbcj->imageData;
+	int jbcjstep = imgjbcj->widthStep;
+	int jbcjchannels = imgjbcj->nChannels;
+	for (i = 0; i<165; i++)
+		for (j = 0; j<835; j++)
+			imgjbcjdata[i*jbcjstep + j*jbcjchannels] = data[(i + jbi)*step + (j + jbj)*channels];
+	for (i = 0; i<165; i = i + 2)
+	{
+		imgjbsbdata[(i + jbi)*step + jbj*channels] = 0;
+		imgjbsbdata[(i + jbi)*step + (jbj + 835)*channels] = 0;
+	}
+	for (j = 0; j<835; j = j + 2)
+	{
+		imgjbsbdata[jbi*step + (j + jbj)*channels] = 0;
+		imgjbsbdata[(jbi + 165)*step + (j + jbj)*channels] = 0;
+	}
+
+	return imgjbcj;
+}
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/CreatePath.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/CreatePath.cpp
@@ -0,0 +1,19 @@
+#include <iostream>
+
+using namespace std;
+/**
+根据学生信息创建文件路径，用于文件读取
+
+@变量 date 考试日期
+@变量 subject 考试科目
+@变量 stuNum 考号
+@返回值 返回生成的文件路径
+*/
+string CrPath(string date, string subject, string stuNum)
+{
+	string temp = "Z:/"; temp += date; temp += "/";
+	temp += subject.substr(0, 4); temp += "/";
+	temp += stuNum; temp += ".jpg";
+
+	return temp;
+}
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/DBop.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/DBop.cpp
@@ -0,0 +1,179 @@
+#import "C:\Program Files\Common Files\System\ado\msado15.dll"\
+no_namespace rename("EOF","EndOfFile")
+#include <vector> 
+#include <string> 
+#include <iostream> 
+#include <windows.h> 
+#include <iomanip> 
+#include <stdio.h> 
+
+using namespace std;
+
+
+string g_db_hostName = "192.168.200.97";		/*全局变量 服务器ip或名称*/
+string g_db_dBName = "purple";			/*全局变量 服务器ODBC数据源*/
+string g_db_userName = "BJSH";		/*全局变量 服务器用户名*/
+string g_db_password = "bjshadmin";		/*全局变量 服务器密码*/
+
+/*调试数据*/
+//string g_db_hostName = "localhost";		/*全局变量 服务器ip或名称*/
+//string g_db_dBName = "yanshuaishuai";			/*全局变量 服务器ODBC数据源*/
+//string g_db_userName = "yannsy";		/*全局变量 服务器用户名*/
+//string g_db_password = "123456";		/*全局变量 服务器密码*/
+
+string g_db_qurry_start = "200906";		/*全局变量 数据库查询_开始日期*/
+string g_db_qurry_end = "201610";		/*全局变量 数据库查询_结束日期*/
+string g_db_qurry_zone = "0";		/*全局变量 数据库查询_特定区域*/
+string g_db_qurry_stu_num = "0";	/*全局变量 数据库查询_特定考号*/
+bool g_db_qurry_all = true;			/*全局变量 数据库查询_查询全部标记*/
+
+_ConnectionPtr p_conn;		/*全局变量 连接对象*/
+_RecordsetPtr p_recordset;	/*全局变量 记录集对象*/
+_CommandPtr p_cmd;			/*全局变量 操作集对象*/
+string	str_conn;			/*全局变量 连接字符串设置*/
+
+
+/**
+程序功能：	根据string类的stu【存储学号】，搜索出所有此人的考试信息,并分别存储在不同的变量中
+
+@变量 stuNum 学号
+@变量 date<vector>	考试时间
+@变量 subject<vector> 考试科目
+@变量 stuNum<vector> 考号
+@返回值 成功1 失败0
+*/
+int DbImg(string stuNum, vector<string>& dateVec, vector<string>& subjectVec, vector<string>& stuNum2)//搜寻图片
+{
+	/*字符转换，方便使用*/
+	string  userName(g_db_userName.c_str());
+	string  password(g_db_password.c_str());
+	string  hostName(g_db_hostName.c_str());
+	string  dBName(g_db_dBName.c_str());
+
+	//构造查询语句				下句注释是sql语句，需要构造成这种类型
+	/*select KS_ZKZ, KSSJ, TJ_KC_DM from ZK.T_BYSQ_KS_KC WHERE KSSJ between '200907' and '201510' and KS_ZKZ = 010207203867*/
+	/*string  sql = "select KS_ZKZ2, KSSJ, TJ_KC_DM from ZK.T_BYSQ_KS_KC WHERE KSSJ between '200907' and '201504' AND KS_ZKZ = ";*/
+	string sql = "select KS_ZKZ2, KSSJ, TJ_KC_DM from ZK.T_BYSQ_KS_KC WHERE KSSJ between ";
+	sql += g_db_qurry_start;
+	sql += " and ";
+	sql += g_db_qurry_end;
+	sql += "AND KS_ZKZ =";
+	sql += stuNum.c_str();
+
+	_bstr_t _vstr_sql(sql.c_str());/* 转换string为_variant_t */
+	::CoInitialize(NULL);//初始化com组件
+
+	/*创建、打开连接*/
+	try{
+		p_conn.CreateInstance("ADODB.Connection");//创建连接
+		p_recordset.CreateInstance("ADODB.Recordset");//创建结果集,也就是实例化
+		p_cmd.CreateInstance("ADODB.Command");
+
+		p_conn->CursorLocation = adUseClient; //存储过程同时返回记录集和返回值
+		p_conn->Open(_bstr_t(str_conn.c_str()), _bstr_t(userName.c_str()), _bstr_t(password.c_str()), adConnectUnspecified);
+		p_cmd.CreateInstance("ADODB.Command");
+		p_cmd->ActiveConnection = p_conn;
+
+		HRESULT hr = p_recordset->Open(_bstr_t(_vstr_sql),//执行sq语句，查询一个学生的所有考试信息
+			p_conn.GetInterfacePtr(),
+			adOpenStatic,
+			adLockOptimistic,
+			adCmdText);
+
+		//将结果集输出到三个vector变量中
+		if (p_recordset->RecordCount < 1)//结果集为空
+		{
+			return 1;//没有信息，直接跳过这个人
+		}
+		do{ //将结果集输出到三个vector变量中
+			dateVec.push_back((string)(_bstr_t)(p_recordset->Fields->GetItem(_variant_t("KSSJ"))->GetValue()));
+			subjectVec.push_back((string)(_bstr_t)(p_recordset->Fields->GetItem(_variant_t("TJ_KC_DM"))->GetValue()));
+			stuNum2.push_back((string)(_bstr_t)(p_recordset->Fields->GetItem(_variant_t("KS_ZKZ2"))->GetValue()));
+			p_recordset->MoveNext();
+		} while (!p_recordset->EndOfFile);
+	}
+	catch (_com_error e){ return 0; }
+
+	/*关闭查询*/
+	try	{ ::CoUninitialize(); }
+	catch (_com_error e){ /*cout << "qurry:" << e.ErrorInfo() << endl;*/ }
+
+	return 1;
+}
+
+
+
+/**
+程序功能：	更新学生数据库信息,根据学生的鉴定结果，将结果输出到数据库中
+
+@变量 stuNum：学号
+@变量 subject：考试科目
+@变量 flagCheat：作弊标记
+@返回值 成功1失败0
+*/
+int DbUpdate(string stuNum,	vector<string> dateVec,	
+			 vector<string> subjectVec,	vector<string> stuNum2,	
+			 vector<string> flagVec)
+{
+	/*字符转换，方便使用*/
+	string  userName(g_db_userName.c_str());
+	string  password(g_db_password.c_str());
+	string  hostName(g_db_hostName.c_str());
+	string  dBName(g_db_dBName.c_str());
+
+	/*更新字串设置*/
+	int count = subjectVec.size();
+	vector<string > sqlKC; //课程表：作弊第一字段
+	int ci = 0;	//循环
+
+	string flagSQL = "0";//标记   机器审核结果表
+	for (ci = 0; ci < count; ++ci)
+	{
+		if (flagVec[ci] == "1")
+			flagSQL = "1";
+
+		/*作弊的*/
+		string  sqlKC1 = "UPDATE ZK.T_BYSQ_KS_KC SET BJSH_JG_JQ =";//天津_课程_代码	
+		sqlKC1 += flagVec[ci].c_str();
+		sqlKC1 += " WHERE KS_ZKZ2=";
+		sqlKC1 += stuNum2[ci].c_str();
+		sqlKC1 += " AND TJ_KC_DM=";
+		sqlKC1 += subjectVec[ci].c_str();
+		sqlKC1 += " AND KSSJ=";
+		sqlKC1 += dateVec[ci].c_str();
+		sqlKC1 += " AND  KS_ZKZ=";
+		sqlKC1 += stuNum.c_str();
+
+		sqlKC.push_back(sqlKC1);
+	}
+
+	::CoInitialize(NULL);//初始化com组件
+
+	/*更新数据库表*/
+	try{
+		p_conn.CreateInstance("ADODB.Connection");//创建连接
+		p_recordset.CreateInstance("ADODB.Recordset");//创建结果集,也就是实例化
+		p_cmd.CreateInstance("ADODB.Command");
+
+		p_conn->CursorLocation = adUseClient; //存储过程同时返回记录集和返回值
+		p_conn->Open(_bstr_t(str_conn.c_str()), _bstr_t(userName.c_str()), _bstr_t(password.c_str()), adConnectUnspecified);
+		p_cmd->ActiveConnection = p_conn;
+
+		for (ci = 0; ci < count; ++ci)
+		{
+			p_recordset->Open(_bstr_t(sqlKC[ci].c_str()),//更新第二条
+				p_conn.GetInterfacePtr(),
+				adOpenStatic,
+				adLockOptimistic,
+				adCmdText);
+		}
+	}
+	catch (_com_error e){ return 0; }
+
+	/*关闭查询*/
+	try	{
+		::CoUninitialize();
+	}
+	catch (_com_error e){ }
+	return 1;
+}
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.cpp
@@ -0,0 +1,13 @@
+// HWCV.cpp : Defines the entry point for the DLL application.
+//
+
+#include "stdafx.h"
+
+BOOL APIENTRY DllMain( HANDLE hModule, 
+                       DWORD  ul_reason_for_call, 
+                       LPVOID lpReserved
+					 )
+{
+    return TRUE;
+}
+
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.def
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.def
@@ -0,0 +1,3 @@
+LIBRARY            "HWCV"
+EXPORTS            HWCV
+EXPORTS            TEST
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.dsp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.dsp
@@ -0,0 +1,144 @@
+# Microsoft Developer Studio Project File - Name="HWCV" - Package Owner=<4>
+# Microsoft Developer Studio Generated Build File, Format Version 6.00
+# ** DO NOT EDIT **
+
+# TARGTYPE "Win32 (x86) Dynamic-Link Library" 0x0102
+
+CFG=HWCV - Win32 Debug
+!MESSAGE This is not a valid makefile. To build this project using NMAKE,
+!MESSAGE use the Export Makefile command and run
+!MESSAGE 
+!MESSAGE NMAKE /f "HWCV.mak".
+!MESSAGE 
+!MESSAGE You can specify a configuration when running NMAKE
+!MESSAGE by defining the macro CFG on the command line. For example:
+!MESSAGE 
+!MESSAGE NMAKE /f "HWCV.mak" CFG="HWCV - Win32 Debug"
+!MESSAGE 
+!MESSAGE Possible choices for configuration are:
+!MESSAGE 
+!MESSAGE "HWCV - Win32 Release" (based on "Win32 (x86) Dynamic-Link Library")
+!MESSAGE "HWCV - Win32 Debug" (based on "Win32 (x86) Dynamic-Link Library")
+!MESSAGE 
+
+# Begin Project
+# PROP AllowPerConfigDependencies 0
+# PROP Scc_ProjName ""
+# PROP Scc_LocalPath ""
+CPP=cl.exe
+MTL=midl.exe
+RSC=rc.exe
+
+!IF  "$(CFG)" == "HWCV - Win32 Release"
+
+# PROP BASE Use_MFC 0
+# PROP BASE Use_Debug_Libraries 0
+# PROP BASE Output_Dir "Release"
+# PROP BASE Intermediate_Dir "Release"
+# PROP BASE Target_Dir ""
+# PROP Use_MFC 0
+# PROP Use_Debug_Libraries 0
+# PROP Output_Dir "Release"
+# PROP Intermediate_Dir "Release"
+# PROP Ignore_Export_Lib 0
+# PROP Target_Dir ""
+# ADD BASE CPP /nologo /MT /W3 /GX /O2 /D "WIN32" /D "NDEBUG" /D "_WINDOWS" /D "_MBCS" /D "_USRDLL" /D "HWCV_EXPORTS" /Yu"stdafx.h" /FD /c
+# ADD CPP /nologo /G4 /Gz /Zp4 /MD /W3 /GX /O2 /I "OpenCV\cv\include" /I "OpenCV\otherlibs\highgui" /I "OpenCV\cxcore\include" /D "WIN32" /D "NDEBUG" /D "_WINDOWS" /D "_MBCS" /D "_USRDLL" /D "HWCV_EXPORTS" /U "OpenCV\\lib" /FR /FD /c
+# SUBTRACT CPP /YX /Yc /Yu
+# ADD BASE MTL /nologo /D "NDEBUG" /mktyplib203 /win32
+# ADD MTL /nologo /D "NDEBUG" /mktyplib203 /win32
+# ADD BASE RSC /l 0x804 /d "NDEBUG"
+# ADD RSC /l 0x804 /d "NDEBUG"
+BSC32=bscmake.exe
+# ADD BASE BSC32 /nologo
+# ADD BSC32 /nologo
+LINK32=link.exe
+# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /dll /machine:I386
+# ADD LINK32 FreeImage.lib kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib cxcore.lib cv.lib ml.lib cvaux.lib highgui.lib cvcam.lib /nologo /dll /machine:I386
+
+!ELSEIF  "$(CFG)" == "HWCV - Win32 Debug"
+
+# PROP BASE Use_MFC 0
+# PROP BASE Use_Debug_Libraries 1
+# PROP BASE Output_Dir "Debug"
+# PROP BASE Intermediate_Dir "Debug"
+# PROP BASE Target_Dir ""
+# PROP Use_MFC 0
+# PROP Use_Debug_Libraries 1
+# PROP Output_Dir "Debug"
+# PROP Intermediate_Dir "Debug"
+# PROP Ignore_Export_Lib 0
+# PROP Target_Dir ""
+# ADD BASE CPP /nologo /MTd /W3 /Gm /GX /ZI /Od /D "WIN32" /D "_DEBUG" /D "_WINDOWS" /D "_MBCS" /D "_USRDLL" /D "HWCV_EXPORTS" /Yu"stdafx.h" /FD /GZ /c
+# ADD CPP /nologo /MTd /W3 /Gm /GX /ZI /Od /D "WIN32" /D "_DEBUG" /D "_WINDOWS" /D "_MBCS" /D "_USRDLL" /D "HWCV_EXPORTS" /Yu"stdafx.h" /FD /GZ /c
+# ADD BASE MTL /nologo /D "_DEBUG" /mktyplib203 /win32
+# ADD MTL /nologo /D "_DEBUG" /mktyplib203 /win32
+# ADD BASE RSC /l 0x804 /d "_DEBUG"
+# ADD RSC /l 0x804 /d "_DEBUG"
+BSC32=bscmake.exe
+# ADD BASE BSC32 /nologo
+# ADD BSC32 /nologo
+LINK32=link.exe
+# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /dll /debug /machine:I386 /pdbtype:sept
+# ADD LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib cxcore.lib cv.lib ml.lib cvaux.lib highgui.lib cvcam.lib FreeImage.lib /nologo /dll /debug /machine:I386 /pdbtype:sept
+
+!ENDIF 
+
+# Begin Target
+
+# Name "HWCV - Win32 Release"
+# Name "HWCV - Win32 Debug"
+# Begin Group "Source Files"
+
+# PROP Default_Filter "cpp;c;cxx;rc;def;r;odl;idl;hpj;bat"
+# Begin Source File
+
+SOURCE=.\binary.cpp
+# End Source File
+# Begin Source File
+
+SOURCE=.\Cjbsb.cpp
+# End Source File
+# Begin Source File
+
+SOURCE=.\outline.cpp
+# End Source File
+# Begin Source File
+
+SOURCE=.\outlinefeature.cpp
+# End Source File
+# Begin Source File
+
+SOURCE=.\read_scanf.cpp
+# End Source File
+# Begin Source File
+
+SOURCE=.\segmentation.cpp
+# End Source File
+# Begin Source File
+
+SOURCE=.\singlefeature.cpp
+# End Source File
+# Begin Source File
+
+SOURCE=.\Thinner.cpp
+# End Source File
+# End Group
+# Begin Group "Header Files"
+
+# PROP Default_Filter "h;hpp;hxx;hm;inl"
+# Begin Source File
+
+SOURCE=.\HWCV.def
+# End Source File
+# End Group
+# Begin Group "Resource Files"
+
+# PROP Default_Filter "ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe"
+# End Group
+# Begin Source File
+
+SOURCE=.\ReadMe.txt
+# End Source File
+# End Target
+# End Project
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.dsw
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.dsw
@@ -0,0 +1,29 @@
+Microsoft Developer Studio Workspace File, Format Version 6.00
+# WARNING: DO NOT EDIT OR DELETE THIS WORKSPACE FILE!
+
+###############################################################################
+
+Project: "HWCV"=".\HWCV.dsp" - Package Owner=<4>
+
+Package=<5>
+{{{
+}}}
+
+Package=<4>
+{{{
+}}}
+
+###############################################################################
+
+Global:
+
+Package=<5>
+{{{
+}}}
+
+Package=<3>
+{{{
+}}}
+
+###############################################################################
+
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.opt
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.opt
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.plg
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.plg
@@ -0,0 +1,16 @@
+<html>
+<body>
+<pre>
+<h1>Build Log</h1>
+<h3>
+--------------------Configuration: HWCV - Win32 Release--------------------
+</h3>
+<h3>Command Lines</h3>
+
+
+
+<h3>Results</h3>
+HWCV.dll - 0 error(s), 0 warning(s)
+</pre>
+</body>
+</html>
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.vcxproj
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.vcxproj
@@ -0,0 +1,172 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup Label="ProjectConfigurations">
+    <ProjectConfiguration Include="Debug|Win32">
+      <Configuration>Debug</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+    <ProjectConfiguration Include="Release|Win32">
+      <Configuration>Release</Configuration>
+      <Platform>Win32</Platform>
+    </ProjectConfiguration>
+  </ItemGroup>
+  <PropertyGroup Label="Globals">
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+  <PropertyGroup Label="UserMacros" />
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <OutDir>.\Debug\</OutDir>
+    <IntDir>.\Debug\</IntDir>
+    <LinkIncremental>true</LinkIncremental>
+  </PropertyGroup>
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
+    <OutDir>.\Release\</OutDir>
+    <IntDir>.\Release\</IntDir>
+    <LinkIncremental>false</LinkIncremental>
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+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
+    <ClCompile>
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+      <FunctionLevelLinking>false</FunctionLevelLinking>
+      <Optimization>Disabled</Optimization>
+      <SuppressStartupBanner>true</SuppressStartupBanner>
+      <WarningLevel>Level3</WarningLevel>
+      <MinimalRebuild>true</MinimalRebuild>
+      <DebugInformationFormat>EditAndContinue</DebugInformationFormat>
+      <PreprocessorDefinitions>WIN32;_DEBUG;_WINDOWS;_USRDLL;HWCV_EXPORTS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <AssemblerListingLocation>.\Debug\</AssemblerListingLocation>
+      <PrecompiledHeaderOutputFile>.\Debug\HWCV.pch</PrecompiledHeaderOutputFile>
+      <PrecompiledHeader>Use</PrecompiledHeader>
+      <PrecompiledHeaderFile>stdafx.h</PrecompiledHeaderFile>
+      <ObjectFileName>.\Debug\</ObjectFileName>
+      <ProgramDataBaseFileName>.\Debug\</ProgramDataBaseFileName>
+      <BasicRuntimeChecks>EnableFastChecks</BasicRuntimeChecks>
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+    <Midl>
+      <SuppressStartupBanner>true</SuppressStartupBanner>
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+      <MkTypLibCompatible>true</MkTypLibCompatible>
+      <TargetEnvironment>Win32</TargetEnvironment>
+    </Midl>
+    <ResourceCompile>
+      <Culture>0x0804</Culture>
+      <PreprocessorDefinitions>_DEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+    </ResourceCompile>
+    <Bscmake>
+      <SuppressStartupBanner>true</SuppressStartupBanner>
+      <OutputFile>.\Debug\HWCV.bsc</OutputFile>
+    </Bscmake>
+    <Link>
+      <SuppressStartupBanner>true</SuppressStartupBanner>
+      <LinkDLL>true</LinkDLL>
+      <GenerateDebugInformation>true</GenerateDebugInformation>
+      <SubSystem>Console</SubSystem>
+      <OutputFile>.\Debug\HWCV.dll</OutputFile>
+      <ImportLibrary>.\Debug\HWCV.lib</ImportLibrary>
+      <AdditionalDependencies>odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
+      <ModuleDefinitionFile>.\HWCV.def</ModuleDefinitionFile>
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+  </ItemDefinitionGroup>
+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
+    <ClCompile>
+      <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>
+      <InlineFunctionExpansion>OnlyExplicitInline</InlineFunctionExpansion>
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+      <FunctionLevelLinking>true</FunctionLevelLinking>
+      <Optimization>MaxSpeed</Optimization>
+      <SuppressStartupBanner>true</SuppressStartupBanner>
+      <WarningLevel>Level3</WarningLevel>
+      <AdditionalIncludeDirectories>OpenCV\cv\include;OpenCV\otherlibs\highgui;OpenCV\cxcore\include;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
+      <PreprocessorDefinitions>WIN32;NDEBUG;_WINDOWS;_USRDLL;HWCV_EXPORTS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <UndefinePreprocessorDefinitions>OpenCV\\lib;%(UndefinePreprocessorDefinitions)</UndefinePreprocessorDefinitions>
+      <AssemblerListingLocation>.\Release\</AssemblerListingLocation>
+      <BrowseInformation>true</BrowseInformation>
+      <PrecompiledHeaderOutputFile>.\Release\HWCV.pch</PrecompiledHeaderOutputFile>
+      <PrecompiledHeader>
+      </PrecompiledHeader>
+      <ObjectFileName>.\Release\</ObjectFileName>
+      <ProgramDataBaseFileName>.\Release\</ProgramDataBaseFileName>
+      <CallingConvention>StdCall</CallingConvention>
+      <StructMemberAlignment>4Bytes</StructMemberAlignment>
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+    <Midl>
+      <SuppressStartupBanner>true</SuppressStartupBanner>
+      <PreprocessorDefinitions>NDEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+      <TypeLibraryName>.\Release\HWCV.tlb</TypeLibraryName>
+      <MkTypLibCompatible>true</MkTypLibCompatible>
+      <TargetEnvironment>Win32</TargetEnvironment>
+    </Midl>
+    <ResourceCompile>
+      <Culture>0x0804</Culture>
+      <PreprocessorDefinitions>NDEBUG;%(PreprocessorDefinitions)</PreprocessorDefinitions>
+    </ResourceCompile>
+    <Bscmake>
+      <SuppressStartupBanner>true</SuppressStartupBanner>
+      <OutputFile>.\Release\HWCV.bsc</OutputFile>
+    </Bscmake>
+    <Link>
+      <SuppressStartupBanner>true</SuppressStartupBanner>
+      <LinkDLL>true</LinkDLL>
+      <SubSystem>Console</SubSystem>
+      <OutputFile>.\Release\HWCV.dll</OutputFile>
+      <ImportLibrary>.\Release\HWCV.lib</ImportLibrary>
+      <AdditionalDependencies>FreeImage.lib;cxcore.lib;cv.lib;ml.lib;cvaux.lib;highgui.lib;cvcam.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
+      <ModuleDefinitionFile>.\HWCV.def</ModuleDefinitionFile>
+    </Link>
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+    <ClCompile Include="binary.cpp" />
+    <ClCompile Include="Cjbsb.cpp" />
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+    <ClCompile Include="getFloders.cpp" />
+    <ClCompile Include="getType.cpp" />
+    <ClCompile Include="gif2ipl.cpp" />
+    <ClCompile Include="outline.cpp" />
+    <ClCompile Include="outlinefeature.cpp" />
+    <ClCompile Include="read_scanf.cpp" />
+    <ClCompile Include="segmentation.cpp" />
+    <ClCompile Include="singlefeature.cpp" />
+    <ClCompile Include="Thinner.cpp" />
+    <ClCompile Include="worddivide.cpp" />
+    <ClCompile Include="wordrecognize.cpp" />
+  </ItemGroup>
+  <ItemGroup>
+    <ClInclude Include="Cword.h" />
+    <ClInclude Include="FreeImage.h" />
+    <ClInclude Include="Point.h" />
+    <ClInclude Include="Thinner.h" />
+  </ItemGroup>
+  <ItemGroup>
+    <CustomBuild Include="HWCV.def" />
+    <CustomBuild Include="ReadMe.txt" />
+  </ItemGroup>
+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
+  <ImportGroup Label="ExtensionTargets">
+  </ImportGroup>
+</Project>
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.vcxproj.filters
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/HWCV.vcxproj.filters
@@ -0,0 +1,84 @@
+<?xml version="1.0" encoding="utf-8"?>
+<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <ItemGroup>
+    <Filter Include="Source Files">
+      <UniqueIdentifier>{5132bb21-0ec3-411b-8a1b-91890205e9e8}</UniqueIdentifier>
+      <Extensions>cpp;c;cxx;rc;def;r;odl;idl;hpj;bat</Extensions>
+    </Filter>
+    <Filter Include="Header Files">
+      <UniqueIdentifier>{0146cd25-bd07-4b86-90b5-8a28a4b87af1}</UniqueIdentifier>
+      <Extensions>h;hpp;hxx;hm;inl</Extensions>
+    </Filter>
+    <Filter Include="Resource Files">
+      <UniqueIdentifier>{7d418a22-acbe-42ad-9b5f-bba6e2b4b2be}</UniqueIdentifier>
+      <Extensions>ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe</Extensions>
+    </Filter>
+  </ItemGroup>
+  <ItemGroup>
+    <ClCompile Include="binary.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="Cjbsb.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="Cword.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="getFiles.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="getFloders.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="getType.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="gif2ipl.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="outline.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="outlinefeature.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="read_scanf.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="segmentation.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="singlefeature.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="Thinner.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="worddivide.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+    <ClCompile Include="wordrecognize.cpp">
+      <Filter>Source Files</Filter>
+    </ClCompile>
+  </ItemGroup>
+  <ItemGroup>
+    <ClInclude Include="Cword.h">
+      <Filter>Header Files</Filter>
+    </ClInclude>
+    <ClInclude Include="FreeImage.h">
+      <Filter>Header Files</Filter>
+    </ClInclude>
+    <ClInclude Include="Point.h">
+      <Filter>Header Files</Filter>
+    </ClInclude>
+    <ClInclude Include="Thinner.h">
+      <Filter>Header Files</Filter>
+    </ClInclude>
+  </ItemGroup>
+  <ItemGroup>
+    <CustomBuild Include="HWCV.def">
+      <Filter>Header Files</Filter>
+    </CustomBuild>
+    <CustomBuild Include="ReadMe.txt" />
+  </ItemGroup>
+</Project>
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/Point.h
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/Point.h
@@ -0,0 +1,9 @@
+class Point{
+private:
+
+public:
+	int x;
+	int y;
+
+    void setpoint(int a,int b){x=a;y=b;}
+};
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/ReadMe.txt
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/ReadMe.txt
@@ -0,0 +1,41 @@
+========================================================================
+       DYNAMIC LINK LIBRARY : HWCV
+========================================================================
+
+
+AppWizard has created this HWCV DLL for you.  
+
+This file contains a summary of what you will find in each of the files that
+make up your HWCV application.
+
+HWCV.dsp
+    This file (the project file) contains information at the project level and
+    is used to build a single project or subproject. Other users can share the
+    project (.dsp) file, but they should export the makefiles locally.
+
+HWCV.cpp
+    This is the main DLL source file.
+
+	When created, this DLL does not export any symbols. As a result, it 
+	will not produce a .lib file when it is built. If you wish this project
+	to be a project dependency of some other project, you will either need to 
+	add code to export some symbols from the DLL so that an export library 
+	will be produced, or you can check the "doesn't produce lib" checkbox in 
+	the Linker settings page for this project. 
+
+/////////////////////////////////////////////////////////////////////////////
+Other standard files:
+
+StdAfx.h, StdAfx.cpp
+    These files are used to build a precompiled header (PCH) file
+    named HWCV.pch and a precompiled types file named StdAfx.obj.
+
+
+/////////////////////////////////////////////////////////////////////////////
+Other notes:
+
+AppWizard uses "TODO:" to indicate parts of the source code you
+should add to or customize.
+
+
+/////////////////////////////////////////////////////////////////////////////
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/StdAfx.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/StdAfx.cpp
@@ -0,0 +1,8 @@
+// stdafx.cpp : source file that includes just the standard includes
+//	HWCV.pch will be the pre-compiled header
+//	stdafx.obj will contain the pre-compiled type information
+
+#include "stdafx.h"
+
+// TODO: reference any additional headers you need in STDAFX.H
+// and not in this file
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/StdAfx.h
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/StdAfx.h
@@ -0,0 +1,24 @@
+// stdafx.h : include file for standard system include files,
+//  or project specific include files that are used frequently, but
+//      are changed infrequently
+//
+
+#if !defined(AFX_STDAFX_H__0B833134_257D_4F21_9707_24C780138809__INCLUDED_)
+#define AFX_STDAFX_H__0B833134_257D_4F21_9707_24C780138809__INCLUDED_
+
+#if _MSC_VER > 1000
+#pragma once
+#endif // _MSC_VER > 1000
+
+
+// Insert your headers here
+#define WIN32_LEAN_AND_MEAN		// Exclude rarely-used stuff from Windows headers
+
+#include <windows.h>
+
+// TODO: reference additional headers your program requires here
+
+//{{AFX_INSERT_LOCATION}}
+// Microsoft Visual C++ will insert additional declarations immediately before the previous line.
+
+#endif // !defined(AFX_STDAFX_H__0B833134_257D_4F21_9707_24C780138809__INCLUDED_)
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/Thinner.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/Thinner.cpp
@@ -0,0 +1,186 @@
+//**************************************************************************
+//Thinner.cpp
+//细化算法实现文件
+//**************************************************************************
+//#include "StdAfx.h"
+#include <stdlib.h>
+#include <malloc.h>
+#include "Thinner.h"
+#include <stdio.h>
+
+void beforethin(unsigned char *ip, unsigned char *jp, unsigned long lx, unsigned long ly){
+//void beforethin(char *ip, char *jp, 
+//				unsigned long lx, unsigned long ly)
+	unsigned long i,j;
+
+//	printf("--Thinner_beforeThin--");
+	for(i=0; i<ly; i++){
+		for(j=0; j<lx; j++){
+			//这里要视前景是白点还是黑点而定，可以改动
+			//如果前景是白点，就是这样；反之反过来
+			//jp[i*lx+j]=ip[i*lx+j];
+            /*  jp[i*lx+j]=255;*/
+			if(ip[i*lx+j]>0)
+				jp[i*lx+j]=0;
+			else
+				jp[i*lx+j]=255;
+		}
+	}
+}
+/////////////////////////////////////////////////////////////////////////
+//Rosenfeld细化算法
+//功能：对图象进行细化
+//参数：image：代表图象的一维数组
+//      lx：图象宽度
+//      ly：图象高度
+//      无返回值
+void ThinnerRosenfeld(void *image, unsigned long lx, unsigned long ly){
+	char *f, *g;
+	char n[10];
+	char a[5] = {0, -1, 1, 0, 0};
+	char b[5] = {0, 0, 0, 1, -1};
+	char nrnd, cond, n48, n26, n24, n46, n68, n82, n123, n345, n567, n781;
+	short k, shori;
+	unsigned long i, j;
+	long ii, jj, kk, kk1, kk2, kk3, size;
+
+//	printf("--Thinner_Rosenfeld--");
+	size = (long)lx * (long)ly;
+
+	g = (char *)malloc(size);
+	if(g==NULL){
+		printf("error in alocating mmeory!\n");
+		return;
+	}
+
+	f = (char *)image;
+	for(kk=0l; kk<size; kk++){
+		g[kk] = f[kk];
+	}
+
+	do{
+		shori = 0;
+		for(k=1; k<=4; k++){
+			for(i=1; i<lx-1; i++){
+				ii = i + a[k];
+
+				for(j=1; j<ly-1; j++){
+					kk = i*ly + j;
+
+					if(!f[kk])
+						continue;
+
+					jj = j + b[k];
+					kk1 = ii*ly + jj;
+
+					if(f[kk1])
+						continue;
+
+					kk1 = kk - ly -1;
+					kk2 = kk1 + 1;
+					kk3 = kk2 + 1;
+					n[3] = f[kk1];
+					n[2] = f[kk2];
+					n[1] = f[kk3];
+					kk1 = kk - 1;
+					kk3 = kk + 1;
+					n[4] = f[kk1];
+					n[8] = f[kk3];
+					kk1 = kk + ly - 1;
+					kk2 = kk1 + 1;
+					kk3 = kk2 + 1;
+					n[5] = f[kk1];
+					n[6] = f[kk2];
+					n[7] = f[kk3];
+
+					nrnd = n[1] + n[2] + n[3] + n[4]
+						+n[5] + n[6] + n[7] + n[8];
+					if(nrnd<=1)
+						continue;
+
+					cond = 0;
+					n48 = n[4] + n[8];
+					n26 = n[2] + n[6];
+					n24 = n[2] + n[4];
+					n46 = n[4] + n[6];
+					n68 = n[6] + n[8];
+					n82 = n[8] + n[2];
+					n123 = n[1] + n[2] + n[3];
+					n345 = n[3] + n[4] + n[5];
+					n567 = n[5] + n[6] + n[7];
+					n781 = n[7] + n[8] + n[1];
+
+					if(n[2]==1 && n48==0 && n567>0){
+						if(!cond)
+							continue;
+						g[kk] = 0;
+						shori = 1;
+						continue;
+					}
+					if(n[6]==1 && n48==0 && n123>0)	{
+						if(!cond)
+							continue;
+						g[kk] = 0;
+						shori = 1;
+						continue;
+					}
+					if(n[8]==1 && n26==0 && n345>0){
+						if(!cond)
+							continue;
+						g[kk] = 0;
+						shori = 1;
+						continue;
+					}
+					if(n[4]==1 && n26==0 && n781>0)	{
+						if(!cond)
+							continue;
+						g[kk] = 0;
+						shori = 1;
+						continue;
+					}
+					if(n[5]==1 && n46==0){
+						if(!cond)
+							continue;
+						g[kk] = 0;
+						shori = 1;
+						continue;
+					}
+					if(n[7]==1 && n68==0){
+						if(!cond)
+							continue;
+						g[kk] = 0;
+						shori = 1;
+						continue;
+					}
+					if(n[1]==1 && n82==0){
+						if(!cond)
+							continue;
+						g[kk] = 0;
+						shori = 1;
+						continue;
+					}
+					if(n[3]==1 && n24==0){
+						if(!cond)
+							continue;
+						g[kk] = 0;
+						shori = 1;
+						continue;
+					}
+					cond = 1;
+					if(!cond)
+						continue;
+					g[kk] = 0;
+					shori = 1;
+				}
+			}
+
+			for(i=0; i<lx; i++){
+				for(j=0; j<ly; j++){
+					kk = i*ly + j;
+					f[kk] = g[kk];
+				}
+			}
+		}
+	}while(shori);
+	free(g);
+}
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/Thinner.h
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/Thinner.h
@@ -0,0 +1,11 @@
+//***************************************************************************
+// 文件：Thinner.h
+// 功能：四种不同的细化算法
+//***************************************************************************
+
+void beforethin(unsigned char *ip,unsigned char *jp, unsigned long lx, unsigned long ly);
+void ThinnerHilditch(void *image, unsigned long lx, unsigned long ly);
+void ThinnerPavlidis(void *image, unsigned long lx, unsigned long ly);
+void ThinnerRosenfeld(void *image, unsigned long lx, unsigned long ly);
+//注意该函数lWidth应该是Height；
+//BOOL WINAPI ThiningDIBSkeleton (LPSTR lpDIBBits, LONG lWidth, LONG lHeight);
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/binary.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/binary.cpp
@@ -0,0 +1,46 @@
+/* 	程序名：binary.c
+功能：读入图像文件，进行二值化
+*/
+#include <cv.h>  
+#include <highgui.h> 
+#include <stdlib.h>
+#include <stdio.h>
+int*  binary(IplImage*  img,int bithro)
+{
+	int height,width,step,channels;
+	uchar *data;
+	int i,j;
+	static int black[1000];   //C语言不提倡返回一个局部变量的地址以外的功能，所以你必须定义的局部变量，如静态变量。
+	/* 获取图像信息*/
+  	height    = img->height;  
+  	width     = img->width;	
+  	step      = img->widthStep;	
+  	channels  = img->nChannels;
+  	data      = (uchar *)img->imageData;
+
+	/*二值化，并统计黑像素的个数*/
+	for(i=0;i<height;i++)
+	{
+			for(j=0;j<width;j++)//对图像每个点进行二值化,原值为128
+				data[i*step+j*channels]=(data[i*step+j*channels]>bithro)?255:0;
+	}
+
+    /*计算每一行的黑像素个数*/
+	int tempBlackPixel=0;
+	
+	memset(black,0,1000);            //##初始化内存，这里用做清零black数组
+	for(i=height-1;i>0;i--)
+	{ 
+		for(int j=0;j<width;j++)
+		{
+		   	if(data[i*step+j*channels]==0)        //计算黑色的像素数
+		   		tempBlackPixel+=1;
+		}
+		black[height-i]=tempBlackPixel;   //black记录黑色像素数
+		tempBlackPixel=0;
+	}
+	//二值化，并统计黑像素的个数**********
+	return black;
+}
+
+
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cutName.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cutName.cpp
@@ -0,0 +1,28 @@
+/* 	程序名：cutName.cpp
+功能：裁剪文件名
+*/
+#include<io.h>
+#include <stdio.h>
+#include<vector>
+#include<iostream>
+using namespace std;
+#include <string.h>
+
+int cutName(vector<string> &files){
+	vector<string> files_temp;
+	int num=files.size();
+	int i=0;
+
+	for(i=0;i<num;++i){
+		string temp=files[i].c_str();
+		temp= temp.substr(34,temp.length()-4);
+		files_temp.push_back(temp);
+	}
+
+	files.clear();
+	for(i=0;i<num;++i)
+		files.push_back(files_temp[i].c_str());
+	files_temp.clear();
+
+	return 1;
+}
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cv.lib
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cv.lib
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cvaux.lib
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cvaux.lib
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cvcam.lib
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cvcam.lib
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cvhaartraining.lib
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cvhaartraining.lib
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cxcore.lib
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cxcore.lib
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cxts.lib
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/cxts.lib
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/ml.lib
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/ml.lib
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/outline.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/outline.cpp
@@ -0,0 +1,47 @@
+/* 	程序名：outline.c
+功能：输入文字图像。得到相应的轮廓图
+*/
+#include <cv.h>  
+#include <highgui.h> 
+#include <stdlib.h>
+#include <stdio.h>
+
+IplImage* outline(IplImage* imgbj){
+	/*定义变量*/
+    int i,j;
+    int height,width,step,channels;
+  	uchar *data;
+
+    /*定义新的图像*/
+	IplImage* imglk = cvCreateImage(cvGetSize(imgbj),imgbj->depth,imgbj->nChannels);
+
+    /* 获取图像信息*/
+  	height    = imgbj->height;  
+  	width     = imgbj->width;	
+  	step      = imgbj->widthStep;	
+  	channels  = imgbj->nChannels;
+  	data      = (uchar *)imgbj->imageData;
+
+//	printf("--outline--");
+	for(j=0;j<height;j++){      
+		for(int i=0;i<width;i++){
+			imglk->imageData[j*step+i*channels]=255;
+		}
+		for( i=0;i<width-1;i++){
+			if(data[j*step+(i+1)*channels]-data[j*step+i*channels]==255)             //竖线右侧框
+		   		imglk->imageData[j*step+i*channels]=0;
+		    else if(data[j*step+i*channels]-data[j*step+(i+1)*channels]==255)        //竖线左侧框
+		   		imglk->imageData[j*step+(i+1)*channels]=0;
+		}
+	}
+
+	for(i=0;i<width;i++){
+		for(j=0;j<height-1;j++){
+		   	if(data[j*step+i*channels]-data[(j+1)*step+i*channels]==255)             //横线下侧框
+		   		imglk->imageData[(j+1)*step+i*channels]=0;
+		    else if(data[(j+1)*step+i*channels]-data[j*step+i*channels]==255)        //横线上侧框
+		   		imglk->imageData[j*step+i*channels]=0;
+		}
+	}
+	return imglk;
+}
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/outlinefeature.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/outlinefeature.cpp
@@ -0,0 +1,209 @@
+/* 	程序名：outline.c
+功能：输入文字轮廓图,返回相应的轮廓特征值
+*/
+#include <cv.h>  
+#include <highgui.h> 
+#include <stdlib.h>
+#include <stdio.h>
+#include "Point.h"
+//输入文字的轮廓图像,返回相应的轮廓特征值
+int outlinefeature(IplImage* imglk,int feature[ ][50]){
+//定义变量
+    int i,j;
+	int height,width,step,channels;
+  	uchar *data;
+
+    int feat[50][50]={0};             //特征值初始化  
+    Point featblk[32];                //标记相同H的黑点坐标
+    int featk;                        //标记相同H的黑点数目
+    int m;                            //for 里面的变量
+//	printf("--outlinefeature--");
+// 获取图像信息
+  	height    = imglk->height;  
+  	width     = imglk->width;	
+  	step      = imglk->widthStep;	
+  	channels  = imglk->nChannels;
+  	data      = (uchar *)imglk->imageData;
+
+//初始化特征矩阵    最大值为47    ，非空的特征字有1081个
+	int outllab[9][9]={\
+	{3,37,10,36,2,35,9,34,1},{38,3,21,20,2,19,18,1,33},\
+	{11,22,3,10,2,9,1,17,8},{39,23,11,3,2,1,8,16,32},\
+	{4,4,4,4,0,0,0,0,0},{40,24,12,5,6,7,15,31,47},\
+	{12,25,5,13,6,14,7,30,15},{41,5,26,27,6,28,29,7,46},\
+	{5,42,13,43,6,44,14,45,7}};
+
+
+for(i=4;i<=width-5;i++){                
+	for(j=4;j<=height-5;j++){
+		if(data[j*step+i*channels]==0){
+			//**************H=1
+
+			memset(featblk, 0, sizeof(Point)*32);              //归零                
+			featk=0;    
+			if(data[j*step+(i+1)*channels]==0){                 //右侧点
+				featblk[featk].x=i+1;
+				featblk[featk].y=j;
+                featk++;
+			}
+			for(m=i+1;m>=i-1;m--){                              //上排点
+				if(data[(j-1)*step+m*channels]==0) {
+			    	featblk[featk].x=m;
+			    	featblk[featk].y=j-1;
+                    featk++;
+				}
+			}
+			if(data[j*step+(i-1)*channels]==0){                 //左侧点
+				featblk[featk].x=i-1;
+				featblk[featk].y=j;
+                featk++;
+			}
+			for(m=i-1;m<=i+1;m++) {                             //下排点
+				if(data[(j+1)*step+m*channels]==0){
+			    	featblk[featk].x=m;
+			    	featblk[featk].y=j+1;
+                    featk++;
+				}
+			}
+            //统计特征点
+            if(featk>=2){
+				for(m=1;m<=featk-1;m++){
+					feat[outllab[featblk[m-1].x-i+4][featblk[m-1].y-j+4]][outllab[featblk[m].x-i+4][featblk[m].y-j+4]]++;
+				}
+			}
+            //H=1*******************
+
+
+			//*********************H=2
+	        memset(featblk, 0, sizeof(Point)*32);                 //归零                
+			featk=0;  
+			
+			for(m=j+1;m>=j-2;m--){
+				if(data[m*step+(i+2)*channels]==0){                //右排点
+					featblk[featk].x=i+2;
+		      		featblk[featk].y=m;
+                    featk++;
+				}
+			}
+			for(m=i+1;m>=i-2;m--){                                  //上排点
+				if(data[(j-2)*step+m*channels]==0){
+			    	featblk[featk].x=m;
+			    	featblk[featk].y=j-2;
+                    featk++;
+				}
+			}
+			for(m=j-1;m<=j+2;m++){                                  //左侧点
+				if(data[m*step+(i-2)*channels]==0){
+	    			featblk[featk].x=i-2;
+    				featblk[featk].y=m;
+                    featk++;
+				}
+			}
+			for(m=i-1;m<=i+2;m++){                                 //下排点
+				if(data[(j+2)*step+m*channels]==0){
+			    	featblk[featk].x=m;
+			    	featblk[featk].y=j+2;
+                    featk++;
+				}
+			}
+            //统计特征点
+            if(featk>=2){
+				for(m=1;m<=featk-1;m++){
+					feat[outllab[featblk[m-1].x-i+4][featblk[m-1].y-j+4]][outllab[featblk[m].x-i+4][featblk[m].y-j+4]]++;
+				}
+			}
+			//H=2********************
+
+        	//*********************H=3
+	        memset(featblk, 0, sizeof(Point)*32);                 //归零                
+			featk=0;  
+			
+			for(m=j+2;m>=j-3;m--){
+			    if(data[m*step+(i+3)*channels]==0){                //右排点
+					featblk[featk].x=i+3;
+		      		featblk[featk].y=m;
+                    featk++;
+				}
+			}
+			for(m=i+2;m>=i-3;m--){                                  //上排点
+				if(data[(j-3)*step+m*channels]==0){
+			    	featblk[featk].x=m;
+			    	featblk[featk].y=j-3;
+                    featk++;
+				}
+			}
+			for(m=j-2;m<=j+3;m++){                                  //左侧点
+				if(data[m*step+(i-3)*channels]==0){
+	    			featblk[featk].x=i-3;
+    				featblk[featk].y=m;
+                    featk++;
+				}
+			}
+			for(m=i-2;m<=i+3;m++){                                  //下排点
+				if(data[(j+3)*step+m*channels]==0){
+			    	featblk[featk].x=m;
+			    	featblk[featk].y=j+3;
+                    featk++;
+				}
+			}
+            //统计特征点
+            if(featk>=2){
+				for(m=1;m<=featk-1;m++){
+					feat[outllab[featblk[m-1].x-i+4][featblk[m-1].y-j+4]][outllab[featblk[m].x-i+4][featblk[m].y-j+4]]++;
+				}
+			}
+			//H=3********************
+
+        	//*********************H=4  
+	        memset(featblk, 0, sizeof(Point)*32);                 //归零                
+			featk=0;  
+			
+			for(m=j+3;m>=j-4;m--){
+				if(data[m*step+(i+4)*channels]==0){                 //右排点
+					featblk[featk].x=i+4;
+		      		featblk[featk].y=m;
+                    featk++;
+				}
+			}
+			for(m=i+3;m>=i-4;m--) {                                 //上排点
+				if(data[(j-4)*step+m*channels]==0){
+			    	featblk[featk].x=m;
+			    	featblk[featk].y=j-4;
+                    featk++;
+				}
+			}
+			for(m=j-3;m<=j+4;m++){                                  //左侧点
+				if(data[m*step+(i-4)*channels]==0){
+	    			featblk[featk].x=i-4;
+    				featblk[featk].y=m;
+                    featk++;
+				}
+			}
+			for(m=i-3;m<=i+4;m++){                                 //下排点
+				if(data[(j+4)*step+m*channels]==0){
+			    	featblk[featk].x=m;
+			    	featblk[featk].y=j+4;
+                    featk++;
+				}
+			}
+            //统计特征点
+            if(featk>=2){
+				for(m=1;m<=featk-1;m++){
+					feat[outllab[featblk[m-1].x-i+4][featblk[m-1].y-j+4]][outllab[featblk[m].x-i+4][featblk[m].y-j+4]]++;
+				}
+			}
+			//H=4***********************
+		}// if    		
+	}  //for j
+}  //for i
+
+	//****注：最终特征值为feat(x,y)+feat(y,x)，放入feat(x,y)中，x<y
+	for(i=1;i<50;i++)
+		for(j=0;j<i;j++){
+			feat[j][i]=feat[i][j]+feat[j][i];
+            feat[i][j]=0;
+		}
+	memcpy(feature,feat,2500*4);        //int有四个字节
+//	printf("轮廓特征值计算完成\n");
+	return 0;
+}
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/read_scanf.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/read_scanf.cpp
@@ -0,0 +1,30 @@
+#include <fstream>
+#include <string>
+#include <iostream>
+#include <vector>
+using namespace std;
+
+int read_scanf(const string &filename,const int &cols,vector<double *> &_vector){
+// 功能：将filename 中的数据（共cols列）读取到_vector中，_vector可视为二维数组
+	FILE *fp=fopen(filename.c_str(),"r");//打开并读取文件
+	bool flag=true;
+	int i=0;
+	
+//	printf("--read_scanf--");
+	if(!fp){ cout<<"File open error!\n"; return 0; }
+	while(flag){
+		double *point=new double[cols];
+		for(i=0;i<cols;i++){ //读取数据，存在_vector[cols]中
+			if(EOF==fscanf(fp,"%lf",&point[i])) { 
+				flag=false;break; 
+			}
+			if(EOF==fgetc(fp)) { 
+				flag=false;i++;break;
+			}
+		}
+		if(cols==i) 
+			_vector.push_back(point);
+	}
+	fclose(fp);
+	return 1;
+}
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/segmentation.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/segmentation.cpp
@@ -0,0 +1,199 @@
+#pragma once
+#ifdef WIN32                            //屏蔽VC6对STL的一些不完全支持造成
+#pragma warning (disable: 4514 4786)
+#endif
+#include <time.h>
+#include <ctime>
+#include <stdlib.h>
+#include <stdio.h>
+#include <iostream>
+#include <math.h>
+#include <cv.h>
+#include<io.h>             //下面的5个用于读取文件夹下的所有文件名
+#include<vector>
+#include <string.h>
+#include<windows.h>        //用于弹出提示框,,,切记！当调用<windows.h>时，不要调用MFC！（Afx.h)
+#include<string.h>
+using namespace std;
+
+int*		binary(IplImage*  img,int bithro);				//二值化图像
+int			outlinefeature(IplImage* imglk,int feature[ ][50]);  //计算图像的轮廓特征值            
+int			read_scanf(const string &filename,const int &cols,vector<double *> &_vector);	//读取已经存好的特征值
+IplImage*	Cjbsb(IplImage* img,IplImage* imgjbsb,int jbwhite,int jbblack);					//图像角标识别
+IplImage*	outline(IplImage* imgbj);              //计算图像对应的轮廓图
+IplImage*	singlefeature(char* path,int feature[ ][50]);	//得出单个文件的特征值
+
+char *fo = "H:\\logs_dll_check_only.txt";
+char rec[2000] = "\n结果集合为空:";
+FILE *fpzz3 = NULL;//需要注意
+
+extern "C" _declspec(dllexport) char * __stdcall  WINAPI TEST(char *fpname1){
+	return fpname1;//总文件夹的路径
+}
+extern "C" _declspec(dllexport) char * __stdcall  WINAPI HWCV(char *fpname1,char *dest)
+{
+	int		conti = 1;		
+	int		size, i, ii, jj, feature[50][50][30] = { 0 }, featureall;					
+	double	featurep[50][50][30] = { 0 },bzcu[50][50] = { 0 }, bzckesa[50][50] = { 0 }, wcd[30] = { 0 };	
+
+	int		featx[50][50] = { 0 }, featdif[30] = { 0 }, maxi; float maxx = 0;			//最大特征值的标号与值
+	int		xyimgnum = 0;					//嫌疑图片的数目
+	char	str[80];					//存储地址
+
+
+	/*变量定义*/
+	vector<string> suspict;		//记录嫌疑图片地址
+	vector<float> suspict_wcd;
+	vector<string> files;		//存储该生所有考试文件路径
+	vector<string> dateVec, subjectVec, stuNum2;
+	vector<int> flagVec;//记录查到的学生的所有考试信息
+	
+	files.push_back("D:\\tupian\\201110\\0534\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201010\\0665\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201606\\0668\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201101\\0799\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201101\\0883\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201201\\0884\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201107\\0885\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201307\\0886\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201307\\0887\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201107\\0888\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201404\\4685\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201104\\1180\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201110\\1181\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201510\\0359\\080215203444.jpg");
+	files.push_back("D:\\tupian\\201212\\0101\\010209400748.jpg");
+	files.push_back("D:\\tupian\\201606\\4927\\010209400748.jpg");
+
+	size = files.size();	//图像的数目
+
+	//开始对每一张图片进行处理
+	for (i = 0; i < size; i++)
+	{
+		memset(str, 0, sizeof(str));
+		memset(featx, 0, sizeof(featx));
+		memset(bzcu, 0, sizeof(bzcu));
+
+		strcpy(str, files[i].c_str());
+
+		singlefeature(str, featx);				//featx[][50]
+		featureall = 0;                                    //图像特征值和的初始化
+		for (ii = 0; ii < 48; ii++)                             //将featx存起来,回头看能不能用函数换掉
+			for (jj = ii + 1; jj < 47; jj++)
+			{
+			feature[ii][jj][i] = featx[ii][jj];
+			featureall = featureall + featx[ii][jj];
+			}
+		//求轮廓方向特征featurep，式(5)  与标准差中的u的和
+		for (ii = 0; ii < 48; ii++)
+			for (jj = ii + 1; jj < 47; jj++)
+			{
+			featurep[ii][jj][i] = (double)featx[ii][jj] / featureall;
+			bzcu[ii][jj] += (double)featx[ii][jj] / featureall * 1000;     //标准差的值过小,进行放大（1）
+			}
+	}
+
+	//处理完一个人的每一张图片后
+	//----------------------------------------------------------//
+	for (ii = 0; ii < 48; ii++)//求标准差中的u
+		for (jj = ii + 1; jj < 47; jj++)
+			bzcu[ii][jj] = bzcu[ii][jj] / size;
+
+
+	/*将标准差中的kesa加载进来*/
+	string bzcfile = "D:/Xiangmu/Img/bzc/bzc.txt";
+	//txt文件中有47列
+	int bzccolumns = 47;
+	vector<double *> output_bzc;
+	if (!read_scanf(bzcfile, bzccolumns, output_bzc)) return 0;
+
+	//output_vector可视为二维数组;输出数组元素：
+	//int rows=output_bzc.size();
+	for (ii = 0; ii < 48; ii++)
+		for (jj = ii + 1; jj < 47; jj++)
+			bzckesa[ii][jj] = output_bzc[ii][jj];
+
+	//求相似性就是带权卡方wcd
+	for (i = 0; i < size; i++)
+		for (ii = 0; ii < 48; ii++)
+			for (jj = ii + 1; jj < 47; jj++)
+				if (featurep[ii][jj][i] * featurep[ii][jj][conti] != 0 && bzckesa[ii][jj] != -1)
+					wcd[i] += pow((featurep[ii][jj][i] - featurep[ii][jj][conti]), 2) / ((featurep[ii][jj][i] + featurep[ii][jj][conti])*bzckesa[ii][jj]);
+
+	//求卡方距离的最大值 
+	for (i = 0; i < size; i++)
+	{
+		if (maxx < wcd[i]){ maxx = wcd[i]; maxi = i; }
+		if (wcd[i] > 0.12)
+		{
+			xyimgnum++;
+			suspict.push_back(files[i].c_str());
+			suspict_wcd.push_back(wcd[i]);
+			flagVec.push_back(1);//嫌疑标记
+		}else
+		{
+			flagVec.push_back(0);
+		}
+	}
+	
+	/*存储文件记录*/
+	//char*	fpname = "C:/Users/闫帅帅/Desktop/result2.txt";
+	//char	record[2400] = { 0 };
+	//FILE*	fpzz = NULL;//需要注意
+
+	fpzz3 = fopen(fo, "a");  //创建文件 //a		
+	if (NULL == fpzz3) return "ERR";//要返回错误代码
+	fprintf(fpzz3, rec); //从控制台中读入并在文本输出
+	fclose(fpzz3);
+	fpzz3 = NULL;//需要指向空，否则会指向原打开文件地址  
+
+	//将结果存入txt	
+	memset(rec, 0, sizeof(rec));
+	strcpy(rec, "图片总数为：");
+	char pic_num[20];
+	_itoa(size, pic_num, 10);
+	strcat(rec, pic_num);
+	if (xyimgnum > 0)
+	{
+		strcat(rec, "\n");
+		for (i = 0; i < xyimgnum; i++)
+		{
+			strcat(rec, "\t");
+			strcat(rec, suspict[i].c_str());
+			strcat(rec, "\t");
+			char a[20];
+			sprintf(a, "%g", suspict_wcd[i]);
+			strcat(rec, a);
+			strcat(rec, "\n");
+		}
+	}
+	else strcat(rec, "\t没有嫌疑图像！\n");
+
+	fpzz3 = fopen(fo, "a");  //创建文件 //a
+	if (NULL == fpzz3) return "ERR";//要返回错误代码
+	fprintf(fpzz3, rec); //从控制台中读入并在文本输出
+	fclose(fpzz3);
+	fpzz3 = NULL;//需要指向空，否则会指向原打开文件地址  
+
+	suspict.clear();
+	suspict_wcd.clear();
+	output_bzc.clear();
+
+	//memset(record, 0, 2400);
+	memset(feature, 0, sizeof(feature));
+	memset(featurep, 0, sizeof(featurep));
+	memset(bzckesa, 0, sizeof(bzckesa));
+	memset(wcd, 0, sizeof(wcd));
+	memset(featdif, 0, sizeof(featdif));
+
+
+
+
+	char out[100]="成功！\n";
+	strcat(out, fpname1);
+	sprintf(dest, out );
+
+	return "return_OK";
+}
+
+
--- a/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/singlefeature.cpp
+++ b/测试/单独功能测试/0-DLL测试（实际没有部署）/dll-goal无数据库/singlefeature.cpp
@@ -0,0 +1,163 @@
+/* 	程序名：singlefeature.c
+功能：分总程序：读入图像文件，得出单个文件的特征值
+*/
+#include <stdlib.h>
+#include <stdio.h>
+#include <math.h>
+#include <cv.h>
+#include <highgui.h>
+#include "Point.h"
+#include<io.h>
+#include<vector>
+#include<iostream>
+#include <string.h>
+#include <direct.h>
+#include"Thinner.h"
+
+using namespace std;
+/*各种声明*/                            
+int*		binary(IplImage*  img, int bithro);  //二值化图像      
+int			outlinefeature(IplImage* imglk, int feature[][50]);//计算图像的轮廓特征值                         
+IplImage*	Cjbsb(IplImage* img, IplImage* imgjbsb, int jbwhite, int jbblack);//图像角标识别
+
+IplImage* singlefeature(char* path, int feature[][50]){
+	//定义变量
+	IplImage* img = 0;          //原图
+	IplImage* imglk = 0;        //轮廓图
+	IplImage* imggj = 0;        //骨架图
+	IplImage* imgjbsb = 0;      //角标识别图
+	IplImage* imgbj = 0;        //只提取笔记部分的图像
+	IplImage* imgbjhf = 0;      //为文字区域画上方格
+	IplImage* imgwzbj = 0;      //为文字区域标出是否为文字（文字标记）
+
+	int height, width, step, channels;
+	uchar *data;
+
+	int i, j;
+	int *black;                 //用于返回图像每行黑像素的个数
+	//int feature[50][50]={0};    //特征值初始化
+
+	img = cvLoadImage(path, 0);
+
+	/* 获取图像信息*/
+	height = img->height;
+	width = img->width;
+	step = img->widthStep;
+	channels = img->nChannels;
+	data = (uchar *)img->imageData;
+
+	/*开始处理*/
+
+	/*图像放大*/
+	IplImage* imgbig = 0;          //原图的放大图
+	CvSize dst_cvsize;             //目标图像的大小
+	float scale = 1;
+	if (width<840){
+		scale = (float)840 / width;
+		dst_cvsize.width = 840;
+		dst_cvsize.height = (int)(height*scale);
+	}
+	else
+	{
+		dst_cvsize.width = width;
+		dst_cvsize.height = height;
+	}
+
+	imgbig = cvCreateImage(dst_cvsize, img->depth, img->nChannels);
+	cvResize(img, imgbig, CV_INTER_LINEAR);	// CV_INTER_NN - 最近邻插值,
+	//CV_INTER_LINEAR - 双线性插值 (缺省使用),
+	//CV_INTER_AREA - 使用象素关系重采样。当图像缩小时候，该方法可以避免波纹出现。
+	//CV_INTER_CUBIC - 立方插值.
+
+	/*二值化*/
+	int bithro = 230;                              //输入二值化的阈值   (0--255)
+	black = binary(imgbig, bithro);                    //二值化，并统计黑像素的个数，返回每行黑像素的个数(black)
+	//cvNamedWindow("二值化结果图",CV_WINDOW_AUTOSIZE);                   //显示图像
+	//cvShowImage("二值化结果图",img); 
+	//printf("二值化求解完成！！\n");
+
+
+
+	/*角标识别*/
+	int jbwhite = 5, jbblack = 4;
+	imgjbsb = cvCreateImage(cvGetSize(imgbig), imgbig->depth, imgbig->nChannels);
+	imgbj = Cjbsb(imgbig, imgjbsb, jbwhite, jbblack);                              //返回文字的笔迹部分
+
+
+	/*计算骨架图*/
+	imggj = cvCreateImage(cvGetSize(imgbj), imgbj->depth, imgbj->nChannels);   //复制
+	cvCopy(imgbj, imggj, NULL);
+	uchar *gjdata = (uchar *)imggj->imageData;
+
+	beforethin(gjdata, gjdata, imggj->width, imggj->height);
+
+	for (j = 0; j<imggj->height; j++)
+	{ //取值范围转到0--1  
+
+		for (i = 0; i<imggj->width; i++)
+		{
+			if (gjdata[j*imggj->widthStep + i] == 255)
+				gjdata[j*imggj->widthStep + i] = 1;
+		}
+	}
+	ThinnerRosenfeld(imggj->imageData, imggj->height, imggj->width);
+
+	for (j = 0; j<imggj->height; j++)
+	{//取值范围转到0--255,反转过来
+		for (i = 0; i<imggj->width; i++)
+		{
+			if (gjdata[j*imggj->widthStep + i] == 1)
+				gjdata[j*imggj->widthStep + i] = 0;
+			else
+				gjdata[j*imggj->widthStep + i] = 255;
+		}
+	}
+
+	//保存图像 应先生成图像文件名
+	/*
+	char processPic[100]="E:/imggj/";
+	char *namePic=new char[20];
+	bool flag=false;
+	string xuehao=path,kaoshihao=path;
+	int num_iter=sizeof(path);
+	for(int iter=0;iter<num_iter;iter++)
+	{
+	if(path[iter]=='x')
+	{
+	flag=true;
+	break;
+	}
+	}
+	if(flag)
+	{
+	xuehao=xuehao.substr(27,13);
+	kaoshihao=kaoshihao.substr(40,5);
+	}else
+	{
+	xuehao=xuehao.substr(27,12);
+	kaoshihao=kaoshihao.substr(39,5);
+	}
+	strcat(processPic,xuehao.c_str());
+	_mkdir(processPic);
+	strcat(processPic,kaoshihao.c_str());
+	strcat(processPic,".jpg");
+	cvSaveImage(processPic,imggj);
+	*/
+	/*计算骨架特征徝*/
+	outlinefeature(imggj, feature);   //特征值占48*48的右上三角形，feature调用返回
+	//cvWaitKey(0);
+
+	/*释放内存*/
+	cvReleaseImage(&imgbig);
+	cvReleaseImage(&img);
+	cvReleaseImage(&imgbj);
+	cvReleaseImage(&imglk);
+	cvReleaseImage(&imgjbsb);
+	cvReleaseImage(&imgbjhf);
+	cvReleaseImage(&imgwzbj);
+	cvDestroyAllWindows();
+
+	return imggj;
+}
+
+