提取质心 opencv.zip_opencv提取质心_opencv质心追踪_亚像素_质心提取

#include <opencv2/opencv.hpp> #include <opencv2/imgproc/imgproc.hpp> #include<iostream> using namespace cv; using namespace std; //-----------------------------------【main( )函数】------------------------------------------ // 描述：控制台应用程序的入口函数，我们的程序从这里开始 //----------------------------------------------------------------------------------------------- int g_nMedianBlurValue = 2; Mat element = getStructuringElement(MORPH_RECT, Size(3, 3)); vector<Point> point_seq; Mat selectChannel(Mat src, int channel); bool objectDetection(Mat src, int threshold_vlaue, int areasize, int channel) {/* @param[out] success or fail. @param[in] threshold threshold for segmentation. @param[in] areasize threshold for selecting large-enough object. @param[in] channel 1(B), 2(G), 3(R), 4(H), 5(S), 6(V), other(GRAY) */ int i; //cvCopy(src,displayImage,NULL); Mat displayImage = src.clone(); //cvClearSeq(point_seq); //cvClearSeq(contour); //cvClearMemStorage(storage); Mat imageSC = selectChannel(src, channel); //smooth(imageSC,imageSC,CV_MEDIAN);//图像中值滤波 medianBlur(imageSC, imageSC, g_nMedianBlurValue * 2 + 1);//中值滤波 //cvAdaptiveThreshold( gray, gray, 255, CV_ADAPTIVE_THRESH_MEAN_C,CV_THRESH_BINARY, 7, 0); threshold(imageSC, imageSC, threshold_vlaue, 255, CV_THRESH_BINARY); if (1) threshold(imageSC, imageSC, threshold_vlaue, 255, CV_THRESH_BINARY_INV); //cvNot(imageSC,imageSC);//把元素的每一位取反 //imageSC->origin = 0; dilate(imageSC, imageSC, element);//膨胀 //CvScalar color = CV_RGB( 155, 155,155 );//灰度图像 Scalar color = Scalar(155, 155, 155); vector<vector<Point>> Contours; vector<Vec4i> Hierarchy; findContours(imageSC, Contours, Hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0)); vector<Moments> mu(Contours.size()); vector<Point2f> mc(Contours.size()); Mat drawing = Mat::zeros(src.size(), CV_8UC3); for (int i = 0; i< Contours.size(); i++) { mu[i] = moments(Contours[i], false); } for (int i = 0; i< Contours.size(); i++) { mc[i] = Point2d(mu[i].m10 / mu[i].m00, mu[i].m01 / mu[i].m00); } for (int i = 0; i< Contours.size(); i++) { double tmparea = fabs(contourArea(Contours[i])); if (tmparea>areasize) { drawContours(displayImage, Contours, i, color, 2, 8, Hierarchy, 0, Point());//you can change 1 to CV_FILLED if (1) { //Mat region=Contour[i]; //CvMoments moments; //cvMoments( region, &moments,0 ); //cvMoments( &contour, &moments,0 ); // cvDrawContours( cnt_img, _contours, CV_RGB(255,0,0), CV_RGB(0,255,0), _levels, 3, CV_AA, cvPoint(0,0) ); CV_FILLED //////////////////////////////////////////////// /*float xd,yd; int xc,yc; float m00, m10, m01, inv_m00; Point point; m00 = moments.m00; m10 = moments.m10; m01 = moments.m01; inv_m00 = 1. / m00; xd =m10 * inv_m00;//一阶矩 yd =m01 * inv_m00; xc=cvRound(xd);//返回和参数最接近的整数 yc=cvRound(yd); i++; point.x=xd; point.y=yd; cvSeqPush(point_seq, &point ); circle(displayImage,point,5,cvScalar(255,0,0));*/ //mu=moments(Contours[i],false); //mc=Point2d(mu.m10/mu.m00,mu.m01/mu.m00); rectangle(drawing, boundingRect(Contours.at(i)), cvScalar(0, 255, 0)); char tam[10000]; sprintf(tam, "(%0.0f,%0.0f,%0.0d,%0.0d)", mc[i].x, mc[i].y, boundingRect(Contours.at(i)).height, boundingRect(Contours.at(i)).width); //tam[0]=mc[i].x; cout << "质心x " << mc[i].x << " 质心y " << mc[i].y << " height=" << boundingRect(Contours.at(i)).height << " width=" << boundingRect(Contours.at(i)).width << endl; circle(drawing, mc[i], 5, cvScalar(255, 0, 0)); putText(drawing, tam, Point(mc[i].x, mc[i].y), FONT_HERSHEY_SIMPLEX, 0.4, Scalar(255, 0, 255), 1); } } } // cvNamedWindow("Result",0);//创建窗口，设置窗口属性标志，不能手动改变窗口大小 // cvMoveWindow("Result",750,0); // cvResizeWindow("Result",300,200); //缩放窗口 // cvShowImage("Result",tempImage); // cvWaitKey(); // cvDestroyAllWindows(); imshow("bianyuan", drawing); imshow("imageSC", imageSC); imshow("src", src); waitKey(0); return false; } Mat selectChannel(Mat src, int channel) {///select image channel Mat image, gray, hsv; image = src.clone(); //not directly operate on source image //gray = cvCreateImage( cvGetSize(image), 8, 1 ); //hsv = cvCreateImage( cvGetSize(image), 8, 3 ); cvtColor(image, gray, CV_BGR2GRAY); cvtColor(image, hsv, CV_BGR2HSV); vector<Mat> imageRGBORHSV; Mat imageSC; switch (channel) { case 1: //cvSplit(image,imageSC,0,0,0); split(image, imageRGBORHSV); imageSC = imageRGBORHSV[0]; break; case 2: //cvSplit(image,0,imageSC,0,0); split(image, imageRGBORHSV); imageSC = imageRGBORHSV[1]; break; case 3: //cvSplit(image,0,0,imageSC,0); split(image, imageRGBORHSV); imageSC = imageRGBORHSV[2]; break; case 4: //cvSplit(hsv,imageSC,0,0,0); split(hsv, imageRGBORHSV); imageSC = imageRGBORHSV[0]; break; case 5: //cvSplit(hsv,0,imageSC,0,0); split(hsv, imageRGBORHSV); imageSC = imageRGBORHSV[1]; break; case 6: //cvSplit(hsv,0,0,imageSC,0); split(hsv, imageRGBORHSV); imageSC = imageRGBORHSV[2]; break; default: //cvCopy( gray, imageSC, 0 ); imageSC = gray; } //cvReleaseImage(&image); //cvReleaseImage(&hsv); //cvReleaseImage(&gray); return imageSC; } int main() { Mat src = imread("C:\\Users\\shenxuelei\\2.jpg", 1); //Mat imageSC=selectChannel(src, 1); objectDetection(src, 100, 100, 1); }