147 lines
3.7 KiB
C++
147 lines
3.7 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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//#pragma comment( linker, "/subsystem:windows /entry:mainCRTStartup" )//无界面运行
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/*主函数*/
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int main(int argc, char* argv[])
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{
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/*变量定义*/
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string dir = "E:/xiangmu/Img/imgjiaobiao/010211100518"; //存储目录
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//string dir;
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//if (argc < 2)
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// return -1;
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//else
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// dir = argv[1];
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cout << (char*)dir.c_str() << endl;
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char record[2400] = { 0 };
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FILE* fpzz = NULL;//需要注意
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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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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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/*读取配置文件，并配置各项参数*/
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if (!ReadConfig("D:/HWCV/config/configure.cfg"))
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{
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// SaveLog("\t配置文件读取失败\n", g_log_adr, "a");
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SaveLog("\n0\n", g_log_adr, "a");
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return 0;
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}
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char path[100] = "E:/xiangmu/Img/imgjiaobiao/";
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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))
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{
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memset(g_log_rec, 0, sizeof(g_log_rec));
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// SaveLog("\n读取路径：D:\\HWCV\\config\\stdfile.db 的标准差文件失败！\n", g_log_adr, "a");
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SaveLog("\n0\n", g_log_adr, "a");
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return 0;
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}
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// cout<<"标准差："<<endl;
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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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{
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bzckesa[ii][jj] = output_bzc[ii][jj];
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// cout<< bzckesa[ii][jj];
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}
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// cout<<endl;
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//开始检测
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//-------------------------------------------------------------//
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getFiles(dir.c_str(), files); //遍历当前文件夹下的所有文件
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int size = files.size();
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cout << "考生文件数量" <<size<< endl;
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//开始对每一张图片进行处理
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for (int r = 0; r<size; r++)
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{
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memset(wcd, 0, sizeof(wcd));
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cout<<"-对每一张图片进行处理-："<<files[r].c_str()<<endl;
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ComputeImage(files, bzckesa, wcd, r);
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xyimgnum = 0;
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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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cout << files[i].c_str()<< " " << wcd[i] << endl;
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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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}
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}
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if (xyimgnum<3) break;
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}
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/*将结果存入log文件*/
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strcat(g_log_rec, "\n");
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memset(g_log_rec, 0, sizeof(g_log_rec));
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// strcat(g_log_rec, GetTime());
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// strcat(g_log_rec, "\t考生考号：");
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strcat(g_log_rec, dir.substr(27, 22).c_str());
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strcat(g_log_rec, "\t");//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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char b[20];
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sprintf(b, "\t%d", xyimgnum);
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strcat(g_log_rec, b);
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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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cout << "嫌疑图像：" << files[i].c_str() << endl;
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strcat(g_log_rec, "\t\t\t");//\t嫌疑图像：
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strcat(g_log_rec, suspict[i].c_str());
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strcat(g_log_rec, "\t");//相似度：
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float sim = (1.0 - suspict_wcd[i]) * 100;
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char a[20];
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sprintf(a, "%g", sim);
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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
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{
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// strcat(g_log_rec, "\t该考生没有嫌疑图像！\n");
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strcat(g_log_rec, "\t0\n");
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cout << "该考生无嫌疑图像！" << endl;
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}
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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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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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memset(g_log_rec, 0, sizeof(g_log_rec));
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/*返回值*/
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system("pause");
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return 0;
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}
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