一、綠布摳圖-背景圖替換

主要是基于圖像色彩空間，轉換為HSV色彩空間實現mask層提取、然后通過一些簡單的圖像處理比如形態學開閉操作、高斯模糊等到完整的mask區域，運用mask區域生成權重系數，對綠幕圖像與背景圖像重新融合生成一個新輸出圖像，完成摳圖。

自己代碼實現

代碼實踐

//視頻綠布切割背景替換 void QuickDemo::beijing_tihuan_demo() {VideoCapture captureCamear("D:/01.mp4");//get視頻屬性 注意也是可以set設置的 但是注意如果是攝像頭的話他硬件是否支持set的參數int frame_width = captureCamear.get(CAP_PROP_FRAME_WIDTH);int frame_height = captureCamear.get(CAP_PROP_FRAME_HEIGHT);int frame_counts = captureCamear.get(CAP_PROP_FRAME_COUNT);int fps = captureCamear.get(CAP_PROP_FPS);std::cout << "frame_width = " << frame_width << std::endl;std::cout << "frame_height = " << frame_height << std::endl;std::cout << "frame_counts = " << frame_counts << std::endl;std::cout << "fps = " << fps << std::endl;//CAP_PROP_FOURCC 獲取原來的編碼類型 注意size的大小不能變VideoWriter writer("D:/test.mp4", captureCamear.get(CAP_PROP_FOURCC), fps, Size(frame_width, frame_height), true);VideoCapture Camerwriter("D:/lane.avi");Mat frameCamear;Mat frameVedio;while (true){captureCamear.read(frameCamear);//讀取視頻 每一幀 從而操作視頻就是操作圖像了Camerwriter.read(frameVedio);Mat hsv;cvtColor(frameCamear, hsv, COLOR_BGR2HSV);Mat mask;inRange(hsv, Scalar(35, 43, 46), Scalar(77, 255, 255), mask);//輸入hsv圖像、 根據綠色作為分界則傳入hsv綠色的hsv最大最下值//imshow("inRange mask", mask);//只有黑白 把綠色都變成1白色 其他變成0黑色resize(frameVedio, frameVedio, Size(frame_width, frame_height), 0, 0, INTER_LINEAR);bitwise_not(mask, mask);//取反 黑變白 白變黑 就是相當于把綠色部分變成0黑色、人部分變成1白色frameCamear.copyTo(frameVedio, mask);writer.write(frameVedio);//寫入文件if (frameVedio.empty()){break;}imshow("frame", frameVedio);int c = waitKey(10);if (c == 27)break;}//captureVedio.release();captureCamear.release();//攝像頭資源需要釋放writer.release();//視頻寫入變量也需要釋放資源 }

參考賈志剛老師的代碼實踐

代碼實踐

//加入高斯模糊的綠布摳圖替換 Mat background_01; Mat background_02; Mat replace_and_blend(Mat &frame, Mat &mask) {Mat result = Mat::zeros(frame.size(), frame.type());int h = frame.rows;int w = frame.cols;int dims = frame.channels();// replace and blendint m = 0;double wt = 0.0;int r = 0, g = 0, b = 0;int b1 = 0, g1 = 0, r1 = 0;int b2 = 0, g2 = 0, r2 = 0;for (int row = 0; row < h; row++) {uchar* current = frame.ptr<uchar>(row);uchar* bgrow = background_01.ptr<uchar>(row);uchar* maskrow = mask.ptr<uchar>(row);uchar* targetrow = result.ptr<uchar>(row);for (int col = 0; col < w; col++) {m = *maskrow++;if (m == 255) { // 背景*targetrow++ = *bgrow++;*targetrow++ = *bgrow++;*targetrow++ = *bgrow++;current += 3;}else if (m == 0) {*targetrow++ = *current++;*targetrow++ = *current++;*targetrow++ = *current++;bgrow += 3;}else {// 背景像素b1 = *bgrow++;g1 = *bgrow++;r1 = *bgrow++;// 目標前景像素b2 = *current++;g2 = *current++;r2 = *current++;// 混合權重wt = m / 255.0;// 混合b = b1*wt + b2*(1.0 - wt);g = g1*wt + g2*(1.0 - wt);r = r1*wt + r2*(1.0 - wt);*targetrow++ = b;*targetrow++ = g;*targetrow++ = r;}}}return result; } void QuickDemo::beijing_tihuan_demo1() {background_01 = imread("D:/8519639.jpg");background_02 = imread("D:/2.png");resize(background_02, background_02, Size(background_01.cols, background_01.rows));VideoCapture capture;capture.open("D:/01.mp4");if (!capture.isOpened()) {printf("could not load video file...\n");return ;}VideoCapture captureTwo;captureTwo.open("D:/dushuhu.mp4");char* title = "input video";char* matting_title = "video matting result";namedWindow(title, WINDOW_AUTOSIZE);namedWindow(matting_title, WINDOW_AUTOSIZE);Mat frame, hsv, mask;Mat frame2;int count = 0;Size S = Size((int)capture.get(CAP_PROP_FRAME_WIDTH),(int)capture.get(CAP_PROP_FRAME_HEIGHT));while (capture.read(frame)) {if (captureTwo.read(frame2)) {resize(frame2, background_01, frame.size());}else {background_02.copyTo(background_01);//如果背景視頻播放完畢就是要背景 圖片替代}cvtColor(frame, hsv, COLOR_BGR2HSV);inRange(hsv, Scalar(35, 43, 46), Scalar(155, 255, 255), mask);// 形態學腐蝕操作//Mat k = getStructuringElement(MORPH_RECT, Size(3, 3), Point(-1, -1));//morphologyEx(mask, mask, MORPH_CLOSE, k);//erode(mask, mask, k);GaussianBlur(mask, mask, Size(3, 3), 0, 0);Mat result = replace_and_blend(frame, mask);char c = waitKey(1);if (c == 27) {break;}imshow(title, frame);imshow(matting_title, result);}waitKey(0);return ;}

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