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完善目录结构

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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）
This commit is contained in:
yanshui177
2017-05-17 20:43:16 +08:00
parent ad754709a5
commit 6dcd378738
1246 changed files with 671388 additions and 517 deletions
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209
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 Normal file
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/* 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;
}