opencv3/C++ 直方图反向投影实例

 void calcBackProject( const Mat* images, //源数组/图像；有相同的大小和深度(CV_8U或CV_32F)。 int nimages,//源图像的数量 const int* channels, //计算反投影的通道列表；通道数量必须与直方图维度相匹配。 InputArray hist,//输入直方图。 OutputArray backProject, //目标反向投影数组，与images[0]大小、深度相同的单通道数组。 const float** ranges,//每个维度的直方图bin边界数组。 double scale = 1, //输出反向投影的可选比例因子。 bool uniform = true //直方图是否均匀的标志。 );

 #include using namespace cv; Mat hue; int bins = 10; void histBackprojection(int, void*); int main() { Mat src, hsv; src = imread("E:/image/image/shape.jpg-600"); if (src.empty()) { printf("can not load image \n"); return -1; } namedWindow("input", WINDOW_AUTOSIZE); imshow("input", src); cvtColor(src, hsv, COLOR_BGR2HSV); hue.create(hsv.size(), hsv.depth()); int ch[] = {0, 0}; //分离Hue通道:色相通道 mixChannels(&hsv, 1, &hue, 1, ch, 1); //创建Trackbar来输入bin的数目 createTrackbar("bins:", "input", &bins, 255, histBackprojection); histBackprojection(0, 0); waitKey(0); return 0; } void histBackprojection(int, void*) { MatND hist, backproj; int histSize = max(bins, 2); float range[] = {0, 255}; const float *ranges = {range}; //计算直方图 calcHist(&hue, 1, 0, Mat(), hist,1, &histSize, &ranges, true, false); //将直方图bin的数值归一化到0-255 normalize(hist, hist, 0, 255, NORM_MINMAX, -1, Mat()); //计算反向投影 calcBackProject(&hue, 1, 0, hist, backproj, &ranges, 1, true); namedWindow("backprogection", WINDOW_AUTOSIZE); imshow("backprogection", backproj); //显示直方图 int binsW = cvRound((double)500/histSize); Mat histImg = Mat::zeros(500, 500, CV_8UC3); RNG rng(123); for (int i = 0; i (i) * 500 / 255.0)), color, -1); } namedWindow("histogram", WINDOW_AUTOSIZE); imshow("histogram", histImg); }