https://blog.csdn.net/zaibeijixing/article/details/83176330
读
FILE *fp;
fopen_s(&fp, "sample.txt", "r");
Mat imgd = imread("d:\\src.bmp");
Rect rect;
for (int i=0;i<33;i++)//读取数据
{
fscanf_s(fp, "%d %d %d %d", &rect.x, &rect.y, &rect.width, &rect.height);
ReadRect.push_back(rect);
}
fclose(fp);
for (int i=0;iShowImage(IDC_STATIC_ORC, sec);
void COpenCVOCRDlg::matchTemplateFunction(cv::Mat templ, cv::Mat &img)//模板匹配 获取矩形四点存入文件 方便下次直接读出
{
EnterCriticalSection(&cs);
int result_cols = img.cols - templ.cols + 1;
int result_rows = img.rows - templ.rows + 1;
result.create(result_cols, result_rows, CV_32FC1);
matchTemplate(img, templ, result, CV_TM_SQDIFF_NORMED);//这里我们使用的匹配算法是标准平方差匹配 method=CV_TM_SQDIFF_NORMED,数值越小匹配度越好
normalize(result, result, 0, 1, NORM_MINMAX, -1, Mat());
double minVal = -1;
double maxVal;
Point minLoc;
Point maxLoc;
Point matchLoc;
minMaxLoc(result, &minVal, &maxVal, &minLoc, &maxLoc, Mat());
//Rect rect(matchLoc, Point(matchLoc.x + temp1.cols, matchLoc.y + temp1.rows));
matchLoc = minLoc;
rectangle(img, matchLoc, Point(matchLoc.x + templ.cols, matchLoc.y + templ.rows), Scalar(0, 255, 0), 2, 8, 0);
int width = abs(matchLoc.x - (matchLoc.x + templ.cols));
int height = abs(matchLoc.y - (matchLoc.y + templ.rows));
Rect rect = { min(matchLoc.x,(matchLoc.x + templ.cols)),min(matchLoc.y,(matchLoc.y + templ.rows)),width,height };
CaptrueRect.push_back(rect);//存放数据
::LeaveCriticalSection(&cs);
}
main.c
ofstream file("sample.txt");
if (!file)
{
cout << "open file error!";
return 1;
}
vector::iterator it = CaptrueRect.begin();
for (; it != CaptrueRect.end(); ++it)
{
file << it->x << ' ' << it->y << ' ' << it->width << ' ' << it->height << endl;
}
file << endl;