模板匹配

1.思路

截取模板----->模板匹配----->画框

1.手动截取模板

读模板templateImages.push_back(cv::imread("D:/photo/books/11.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/22.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/44.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/55.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/77.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/88.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/CC.png", cv::IMREAD_COLOR));
    templateImages.push_back(cv::imread("D:/photo/books/xiegang.png", cv::IMREAD_COLOR));
    templateImages.push_back(cv::imread("D:/photo/books/dian.png", cv::IMREAD_COLOR));

添加字签

 // 字符标签
    std::vector<std::string> labels = {"1", "2","4","5","7","8","C","xg","dian"};

![72001698883](C:\Users\CUISHU~1\AppData\Local\Temp\1720016988839.png

2.模板匹配

使用模板匹配函数matchTemplate();

    for (size_t i = 0; i < templateImages.size(); i++) {

        cv::Mat templImage = templateImages[i];

        cv::Mat resultImage;

        cv::matchTemplate(srcImage, templImage, resultImage, cv::TM_CCOEFF_NORMED);

        double minVal, maxVal;

        cv::Point minLoc, maxLoc;

        cv::Point matchLoc;

        double threshold = 0.5; // 可根据实际情况调整

        while (true) {

            cv::minMaxLoc(resultImage, &minVal, &maxVal, &minLoc, &maxLoc);

                if(maxVal >= threshold){

                    matchLoc = maxLoc;

        cv::rectangle(srcImage, matchLoc, cv::Point(matchLoc.x + templImage.cols, matchLoc.y + templImage.rows), cv::Scalar(0, 255, 0), 2);

        cv::putText(srcImage, labels[i], matchLoc, cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 0, 200), 2);

        cv::floodFill(resultImage, maxLoc, cv::Scalar(0), 0, cv::Scalar(0.1), cv::Scalar(1.0));

            }

            else {

                break;

            }
        }
    }

3.画框

  cv::rectangle(srcImage, matchLoc, cv::Point(matchLoc.x + templImage.cols, matchLoc.y + templImage.rows), cv::Scalar(0, 255, 0), 2);

 cv::putText(srcImage, labels[i], matchLoc, cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 0, 200), 2);

 cv::floodFill(resultImage, maxLoc, cv::Scalar(0), 0, cv::Scalar(0.1), cv::Scalar(1.0));

2.代码

cv::Mat srcImage = cv::imread("D:/photo/books/moban5.jpg", cv::IMREAD_COLOR);

    cv::Mat src = cv::imread("D:/photo/books/moban5.jpg", cv::IMREAD_COLOR);

    // 模板图像列表，每个模板对应一个字符

    std::vector<cv::Mat> templateImages;

    templateImages.push_back(cv::imread("D:/photo/books/11.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/22.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/44.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/55.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/77.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/88.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/CC.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/xiegang.png", cv::IMREAD_COLOR));

    templateImages.push_back(cv::imread("D:/photo/books/dian.png", cv::IMREAD_COLOR));

    // 添加更多模板图像...

    // 字符标签

    std::vector<std::string> labels = {"1", "2","4","5","7","8","C","xg","dian"};

    // 添加更多字符标签...

    for (size_t i = 0; i < templateImages.size(); i++) {

        cv::Mat templImage = templateImages[i];

        cv::Mat resultImage;

        cv::matchTemplate(srcImage, templImage, resultImage, cv::TM_CCOEFF_NORMED);

        double minVal, maxVal;

        cv::Point minLoc, maxLoc;

        cv::Point matchLoc;

        double threshold = 0.5; // 可根据实际情况调整

        while (true) {

            cv::minMaxLoc(resultImage, &minVal, &maxVal, &minLoc, &maxLoc);

                if(maxVal >= threshold){

                    matchLoc = maxLoc;

        cv::rectangle(srcImage, matchLoc, cv::Point(matchLoc.x + templImage.cols, matchLoc.y + templImage.rows), cv::Scalar(0, 255, 0), 2);

        cv::putText(srcImage, labels[i], matchLoc, cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 0, 200), 2);

        cv::floodFill(resultImage, maxLoc, cv::Scalar(0), 0, cv::Scalar(0.1), cv::Scalar(1.0));

            }

            else {

                break;

            }
        }
    }
    }