首先导入maven

     org.bytedeco      javacv      1.4.3                        org.bytedeco          javacpp                          org.bytedeco.javacpp-presets          flycapture                          org.bytedeco.javacpp-presets          libdc1394                          org.bytedeco.javacpp-presets          libfreenect                          org.bytedeco.javacpp-presets          libfreenect2                          org.bytedeco.javacpp-presets          librealsense                          org.bytedeco.javacpp-presets          videoinput                          org.bytedeco.javacpp-presets          tesseract                          org.bytedeco.javacpp-presets          leptonica                          org.bytedeco.javacpp-presets          flandmark                          org.bytedeco.javacpp-presets          artoolkitplus                        org.bytedeco      javacv-platform      1.4.3                        org.bytedeco          javacv                          org.bytedeco.javacpp-presets          flycapture-platform                          org.bytedeco.javacpp-presets          libdc1394-platform                          org.bytedeco.javacpp-presets          libfreenect-platform                          org.bytedeco.javacpp-presets          libfreenect2-platform                          org.bytedeco.javacpp-presets          librealsense-platform                          org.bytedeco.javacpp-presets          videoinput-platform                          org.bytedeco.javacpp-presets          tesseract-platform                          org.bytedeco.javacpp-presets          leptonica-platform                          org.bytedeco.javacpp-presets          flandmark-platform                          org.bytedeco.javacpp-presets          artoolkitplus-platform                            org.bytedeco.javacpp-presets      ffmpeg      4.0.2-1.4.3    

开始进行实现：

第一步：

前景背景求差法

#include #include #include #include "opencv2/photo/photo.hpp" #include using namespace std;using namespace cv; int main(int argc, char** argv){cv::VideoCapture cap("C:/Users/zyy/Desktop/test_logs/test.mp4");if (!cap.isOpened()){cout << "Failed!" << endl;return -1;} Mat result, mask, dst1;Mat inpaintMask1;Mat inpaintMask = imread("C:/Users/zyy/Desktop/test_logs/log5.jpg");cv::cvtColor(inpaintMask, inpaintMask, CV_BGR2GRAY);cv::namedWindow("Result", 1);cv::namedWindow("Frame", 1);int i = 0;for (;;){Mat frame;cap >> frame;if (!frame.data){cout << "Over!" << endl;break;} if (i <= 2) //看视频，自己调试确定这个值，二十几帧之后左上角那个小图才出来，所以选了30{if (i == 2){mask = frame;cv::cvtColor(mask, mask, CV_BGR2GRAY);//Mat inpaintMask1(mask.rows, mask.cols, CV_32FC1, 1);inpaintMask1 = mask;}}else{cv::bitwise_and(result, mask, mask);//前景背景求差法if (i > 2 && i <= 40){cv::cvtColor(frame, result, CV_BGR2GRAY);cv::bitwise_and(result, mask, mask);//前景背景求差法inpaintMask1 = mask;imwrite("C:/Users/zyy/Desktop/test_logs/www.jpg", inpaintMask1);}Mat inpainted;inpaint(frame, inpaintMask, inpainted, 8, CV_INPAINT_TELEA);imshow("inpainted image", inpainted); imshow("Frame", frame);imshow("Result", mask);//waitKey();if (cv::waitKey(33) >= 0) break;}i++;} waitKey();return 0;}

第二步：

logo和水印位置检测

#include #include "cv.h"#include "cxcore.h"#include "highgui.h"using namespace std;int main(){IplImage *src = cvLoadImage("C:/Users/zyy/Desktop/test_logs/22.jpg", 0);IplImage *srcResult = cvLoadImage("C:/Users/zyy/Desktop/test_logs/22.jpg", 3); //用来显示IplImage *templat = cvLoadImage("C:/Users/zyy/Desktop/test_logs/yk2.jpg", 0);IplImage *result;if (!src || !templat){cout << "打开图像失败" << endl;return 0;}int srcW, srcH, templatW, templatH, resultH, resultW;srcW = src->width;srcH = src->height;templatW = templat->width;templatH = templat->height;if (srcW < templatW || srcH < templatH){cout << "模板不能比原图像小" << endl;return 0;}resultW = srcW - templatW + 1;resultH = srcH - templatH + 1;result = cvCreateImage(cvSize(resultW, resultH), 32, 1);cvMatchTemplate(src, templat, result, CV_TM_SQDIFF_NORMED);//CV_TM_SQDIFF_NORMEDdouble minValue, maxValue;CvPoint minLoc, maxLoc;cvMinMaxLoc(result, &minValue, &maxValue, &minLoc, &maxLoc);cout << "最小值：" << minValue << " 最大值：" << maxValue << endl;cvRectangle(srcResult, minLoc, cvPoint(minLoc.x + templatW, minLoc.y + templatH), cvScalar(0, 0, 255));cvNamedWindow("srcResult", 0);cvNamedWindow("templat", 0);cvShowImage("srcResult", srcResult);cvShowImage("templat", templat);cvWaitKey(0);cvReleaseImage(&result);cvReleaseImage(&templat);cvReleaseImage(&srcResult);cvReleaseImage(&src);return 0;}

第三步：

在已经求得掩膜图像的情况下，进行去logo操作。

static String video_path="D://video//videos//";  public static void ets( ) {    Mat inpaintMask = new Mat();    Mat inpainted=new Mat();    Mat template = imread("D://video//movie_10.jpg");    Mat frame = new Mat();    cvtColor(template, inpaintMask, COLOR_BGR2GRAY);    VideoCapture cap = new VideoCapture("D://video//mp4//1553583032966-480p.mp4");    if(!cap.isOpened())      return;    String fileName=video_path+"VideoTest12.mp4";    Size size = new Size((int)cap.get(CV_CAP_PROP_FRAME_WIDTH), (int)cap.get(CV_CAP_PROP_FRAME_HEIGHT));    double fps = cap.get(CV_CAP_PROP_FPS);    VideoWriter vw1 = new VideoWriter(fileName, CV_FOURCC((byte)'D',(byte)'I',(byte)'V',(byte)'3'), fps/6, size, true);    int start =11;    int end =20;    for (int i=start;i