基于hsv颜色空间的实时背景替换:
#includeusing namespace cv; Mat replace_and_blend(Mat &frame, Mat&mask); Mat background,frame, hsv, mask,result; int main(int arc, char** argv) { background = imread("2.jpg"); namedWindow("input", CV_WINDOW_AUTOSIZE); imshow("src", background); VideoCapture capture; capture.open("1.mp4"); CvSize size = cvSize(capture.get(CV_CAP_PROP_frame_WIDTH), capture.get(CV_CAP_PROP_frame_HEIGHT)); VideoWriter writer("qq.avi", VideoWriter::fourcc('M', 'J', 'P', 'G'),12.0, size, true); while (capture.read(frame)) { imshow("input", frame); cvtColor(frame, hsv, CV_BGR2HSV); inRange(hsv, Scalar(35, 43, 46), Scalar(77, 255, 255), mask);//颜色过滤,得到mask绿色部分为1,其它部分都为0 imshow("mask", mask); Mat kernel = getStructuringElement(MORPH_RECT,Size(3,3)); morphologyEx(mask, mask, MORPH_DILATE, kernel); GaussianBlur(mask, mask, Size(3, 3), 0, 0);//0,0会根据Size自动算的 result = replace_and_blend(frame, mask); writer.write(result); char c = waitKey(1); if (c == 27) { break; } imshow("input", frame); imshow("result", result); } waitKey(0); return 0; } //通过颜色过滤得到的掩码为单通道图像 Mat replace_and_blend(Mat &frame, Mat &mask) { int rows = frame.rows; int cols = frame.cols; result = Mat::zeros(frame.size(), frame.type()); for (int i = 0; i < rows; i++) { uchar *pf = frame.ptr(i);//人物前景 uchar *pm = mask.ptr(i);//掩码 uchar *pb = background.ptr(i);//背景 uchar *pr = result.ptr(i);//结果 for (int j = 0; j < cols; j++) { pm++; if (*pm == 255)//背景 { pr[3 * j] = pb[3 * j]; pr[3 * j + 1] = pb[3 * j + 1]; pr[3 * j + 2] = pb[3 * j + 2]; } else if (*pm == 0)//前景 { pr[3 * j] = pf[3 * j]; pr[3 * j + 1] = pf[3 * j + 1]; pr[3 * j + 2] = pf[3 * j + 2]; } else //融合部分 { int m = *pm; double w = m / 255.0; pr[3 * j] = w *pb[3 * j] + (1-w) * pf[3 * j]; pr[3 * j + 1] = w * pb[3 * j + 1] + (1-w) * pf[3 * j + 1]; pr[3 * j + 2] = w * pb[3 * j + 2] + (1-w) * pf[3 * j + 2]; //或者取前景和背景的平均值 } } } return result; }
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