提取不規則感興趣區域

void anomalyRoi(Mat &src, Mat &dst) {Mat original = src.clone();//高斯濾波GaussianBlur(original, original, Size(3, 3), 11, 11, 4);//灰度化cvtColor(original, original, COLOR_RGB2GRAY);//二值化Mat threshold_image;threshold(original, threshold_image, 90, 225, 3);//形態學操作，Size的第個值是水平方向，第二值是垂直方向Mat morphologyKernel = getStructuringElement(MORPH_RECT, Size(1, 3));//閉運算morphologyEx(threshold_image, threshold_image, CV_MOP_CLOSE, morphologyKernel);Canny(threshold_image, threshold_image, 45, 45 * 3);imshow("Canny", threshold_image);vector<vector<Point>> contours;vector<Vec4i> hireachy;//找輪廓findContours(threshold_image, contours, hireachy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE, Point(-1, -1));int flag_count = 0;///vector< vector<Point>> contours_poly(contours.size());//建一個全黑的圖像Mat show_threImage = Mat::zeros(threshold_image.size(), CV_8UC3);double s_area = 0;for (size_t i = 0; i < contours.size(); i++){//在全黑的圖像上畫輪廓drawContours(show_threImage, contours, static_cast<int>(i), Scalar(255, 255, 255), 2, 8, hireachy, 0, Point()); //利用面積進行判斷是否為最大區域double area = contourArea(contours[i]);if (s_area < area){s_area = area;}else{s_area = s_area;}if (area == s_area){flag_count = static_cast<int>(i);}else{flag_count = flag_count;}}imshow("Draw_Image_Contours", show_threImage);Mat gray(src.size(), src.type(), Scalar(0, 0, 0));drawContours(gray, contours, flag_count, Scalar(255, 255, 255), 4, 8, hireachy, 0, Point());namedWindow("gray", 0);imshow("gray", gray);//為了找內部的一個漫水填充的種子點Rect s = boundingRect(contours[flag_count]);//黑色區域變成白色，遇到白色區域停止floodFill(gray, Point(s.x + s.width / 2, s.y + s.height / 2), Scalar(255,255,255));bitwise_and(src, gray, dst); }

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