182 lines
4.7 KiB
C++
182 lines
4.7 KiB
C++
/*
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主函数文件：segmentation.cpp 主函数的实现文件
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*/
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#include "segmentation.h"
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/*主函数*/
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extern "C" _declspec(dllexport) char * __stdcall WINAPI TEST(char *fpname1)
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{
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return fpname1;//总文件夹的路径
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}
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extern "C" _declspec(dllexport) char * __stdcall WINAPI HWCV(char *fpname1, char *dest){
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/*读取配置文件，并配置各项参数*/
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ReadConfig("D:\\HWCV\\config\\configure.cfg");
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/*初始化log文件*/
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memset(g_log_rec, 0, sizeof(g_log_rec));
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time_t timer;
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struct tm *tblock;
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timer = time(NULL);
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tblock = localtime(&timer);
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strcat(g_log_rec, "\n-----------------------------------HWCV完整版----\n");
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strcat(g_log_rec, asctime(tblock));
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SaveLog(g_log_rec, g_log_adr, "a");
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/*变量定义*/
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vector<string> suspict; //记录嫌疑图片地址
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vector<float> suspict_wcd; //嫌疑图片的wcd值
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vector<string> files; //存储该生所有考试文件路径
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vector<string> dateVec, subjectVec, stuNum2;
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vector<string> flagVec;//记录查到的学生的所有考试信息
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int i, ii, jj, feature[50][50][30] = { 0 }, featureall = 0;
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double featurep[50][50][30] = { 0 };
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double bzcu[50][50] = { 0 };
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double bzckesa[50][50] = { 0 };
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double wcd[30] = { 0 };
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int featx[50][50] = { 0 };
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int featdif[30] = { 0 };
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float maxx = 0; //最大特征值的标号与值
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int xyimgnum = 0; //嫌疑图片的数目
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char str[80]; //存储地址
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/*查询数据库*/
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string stuNum = fpname1;
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SaveLog(fpname1, "D:\\HWCV\\numtxt.txt", "a");
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DbImg(stuNum, dateVec, subjectVec, stuNum2);
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/*生成路径*/
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for (int cp_i = 0; cp_i < dateVec.size(); cp_i++)
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{
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files.push_back(CrPath(dateVec[cp_i], subjectVec[cp_i], stuNum2[cp_i]));
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}
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int size = files.size();/*找到的路径的数量*/
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/*对每一张图片进行处理*/
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for (i = 0; i < size; i++)
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{
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memset(str, 0, sizeof(str));
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memset(featx, 0, sizeof(featx));
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memset(bzcu, 0, sizeof(bzcu));
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strcpy(str, files[i].c_str());
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singlefeature(str, featx);//featx[][50]
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featureall = 0; //图像特征值和的初始化
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for (ii = 0; ii < 48; ii++) //将featx存起来,回头看能不能用函数换掉
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for (jj = ii + 1; jj < 47; jj++)
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{
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feature[ii][jj][i] = featx[ii][jj];
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featureall = featureall + featx[ii][jj];
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}
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/*求轮廓方向特征featurep，式(5) 与标准差中的u的和*/
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for (ii = 0; ii < 48; ii++)
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for (jj = ii + 1; jj < 47; jj++)
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{
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featurep[ii][jj][i] = (double)featx[ii][jj] / featureall;
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bzcu[ii][jj] += (double)featx[ii][jj] / featureall * 1000; //标准差的值过小,进行放大（1）
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}
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}/*处理完全部图片*/
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/*求标准差中u*/
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for (ii = 0; ii < 48; ii++)
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for (jj = ii + 1; jj < 47; jj++)
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bzcu[ii][jj] = bzcu[ii][jj] / size;
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/*步骤：读取标准差文件*/
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int bzccolumns = 47;//txt文件中有47列
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vector<double *> output_bzc;
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if (!ReadScanf("D:\\HWCV\\config\\stdfile.db", bzccolumns, output_bzc)) return 0;
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for (ii = 0; ii < 48; ii++)//output_vector可视为二维数组;输出数组元素：
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for (jj = ii + 1; jj < 47; jj++)
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bzckesa[ii][jj] = output_bzc[ii][jj];
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/*求相似性，即带权卡方wcd*/
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for (i = 0; i < size; i++)
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for (ii = 0; ii < 48; ii++)
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for (jj = ii + 1; jj < 47; jj++)
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if (featurep[ii][jj][i] * featurep[ii][jj][g_conti] != 0 && bzckesa[ii][jj] != -1)
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wcd[i] += pow((featurep[ii][jj][i] - featurep[ii][jj][g_conti]), 2) / ((featurep[ii][jj][i] + featurep[ii][jj][g_conti])*bzckesa[ii][jj]);
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/*求卡方距离的最大值*/
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for (i = 0; i < size; i++)
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{
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if (wcd[i] > 0.12)
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{
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xyimgnum++;
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suspict.push_back(files[i].c_str());
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suspict_wcd.push_back(wcd[i]);
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flagVec.push_back("1");//嫌疑标记1
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}
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else
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{
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flagVec.push_back("0");
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}
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}
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/*结果更新数据库*/
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DbUpdate(stuNum, dateVec, subjectVec, stuNum2, flagVec);
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/*将结果存入log文件*/
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memset(g_log_rec, 0, sizeof(g_log_rec));
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strcpy(g_log_rec, "图片总数为：");
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char pic_num[20];
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_itoa(size, pic_num, 10);
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strcat(g_log_rec, pic_num);
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if (xyimgnum > 0)
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{
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strcat(g_log_rec, "\n");
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for (i = 0; i < xyimgnum; i++)
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{
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strcat(g_log_rec, "\t");
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strcat(g_log_rec, suspict[i].c_str());
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strcat(g_log_rec, "\t");
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char a[20];
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sprintf(a, "%g", suspict_wcd[i]);
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strcat(g_log_rec, a);
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strcat(g_log_rec, "\n");
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}
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}
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else strcat(g_log_rec, "\t没有嫌疑图像！\n");
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SaveLog(g_log_rec, g_log_adr, "a");
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/*善后*/
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suspict.clear();
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suspict_wcd.clear();
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output_bzc.clear();
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memset(g_log_rec, 0, sizeof(g_log_rec));
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memset(feature, 0, sizeof(feature));
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memset(featurep, 0, sizeof(featurep));
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memset(bzckesa, 0, sizeof(bzckesa));
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memset(wcd, 0, sizeof(wcd));
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memset(featdif, 0, sizeof(featdif));
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files.clear();
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dateVec.clear();
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subjectVec.clear();
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stuNum2.clear();
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flagVec.clear();
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/*返回到网页结果*/
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char out[40] = "当前时间为：";
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//strcat(out, asctime(tblock));
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//strcat(out, "<br>鉴定学号为：");
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strcat(out, fpname1);
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strcat(out, "\n");
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//if(xyimgnum>0)
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// strcat(out,"作弊！<br>");
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sprintf(dest, out);
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/*返回值*/
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return "return_OK";
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}
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