opencv复现Halcon太阳能硅片缺陷检测例程

效果

OK的：

NG的：

代码

   #define show(image)          cv::namedWindow(#image,cv::WINDOW_NORMAL);\cv::imshow(#image, image)int i = 1;while(1){cv::Mat src;QString  dir("D:\\QtProject\\Opencv_Example\\solar_cell\\solar_cell_");QString path;if(i>9)path = QString("%1%2%3").arg(dir).arg(i++).arg(".png");elsepath = QString("%1%2%3%4").arg(dir).arg("0").arg(i++).arg(".png");cout<<path.toStdString()<<endl;src = cv::imread(path.toStdString(), cv::IMREAD_COLOR);if (src.empty()) {cout << "Cannot load image" << endl;return;}show(src);cout<<__func__<<src.channels();cv::Mat rgbImages[3];cv::split(src,rgbImages);
//        cv::imshow("r",rgbImages[0]);
//        cv::imshow("g",rgbImages[1]);show(rgbImages[2]);cv::Mat bImageNot;cv::bitwise_not(rgbImages[2], bImageNot);show(bImageNot);cv::Mat ImageBinary;cv::threshold(bImageNot, ImageBinary, 159, 255, cv::THRESH_BINARY);show(ImageBinary);std::vector<std::vector<cv::Point> > contoursDefect;std::vector<cv::Vec4i> hierarchyDefect;cv::Mat regionOut = cv::Mat::zeros(ImageBinary.size(), ImageBinary.type());cv::Mat regionIn = cv::Mat::zeros(ImageBinary.size(), ImageBinary.type());cv::Mat goodSmallRegion = cv::Mat::zeros(ImageBinary.size(), ImageBinary.type());cv::Mat goodLongRegion = cv::Mat::zeros(ImageBinary.size(), ImageBinary.type());//cv::cvtColor(ImageBinary, canves,cv::COLOR_RGBA2RGB);cv::findContours(ImageBinary, contoursDefect, hierarchyDefect, cv::RETR_TREE, cv::CHAIN_APPROX_NONE);for (size_t i = 0; i < contoursDefect.size(); i++){cv::Mat contour(contoursDefect.at(i));//第i个轮廓double area = contourArea(contour);cv::RotatedRect minRect = cv::minAreaRect(contour);cv::Rect rect = minRect.boundingRect2f();if (area >= 3500 && area <= 5000 && rect.width >= 130 && rect.width <= 300){cv::drawContours(goodSmallRegion, contoursDefect, i, cv::Scalar(255), -1);}if (area >= 6000 && area <= 10000 && rect.width >= 350 && rect.width <= 550){cv::drawContours(goodLongRegion, contoursDefect, i, cv::Scalar(255), -1);}if(hierarchyDefect[i][3] == -1 && area > 15000){cv::drawContours(regionOut, contoursDefect, i, cv::Scalar(255), -1);}if(hierarchyDefect[i][3] != -1 && area > 15000){cv::drawContours(regionIn, contoursDefect, i, cv::Scalar(255), -1);}}show(goodSmallRegion);show(goodLongRegion);show(regionOut);show(regionIn);cv::Mat result;void morphologyOperate(goodSmallRegion, goodLongRegion, regionOut, regionIn, result);}