最近工作需求要做图片去水印的功能，研究了一段时间发现javacv能做这个功能，然后总结了一下。
首先导入maven
<dependency> <groupId>org.bytedeco</groupId> <artifactId>javacv</artifactId> <version>1.4.3</version> <exclusions> <exclusion> <groupId>org.bytedeco</groupId> <artifactId>javacpp</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>flycapture</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>libdc1394</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>libfreenect</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>libfreenect2</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>librealsense</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>videoinput</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>tesseract</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>leptonica</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>flandmark</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>artoolkitplus</artifactId> </exclusion> </exclusions> </dependency><dependency> <groupId>org.bytedeco</groupId> <artifactId>javacv-platform</artifactId> <version>1.4.3</version> <exclusions> <exclusion> <groupId>org.bytedeco</groupId> <artifactId>javacv</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>flycapture-platform</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>libdc1394-platform</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>libfreenect-platform</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>libfreenect2-platform</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>librealsense-platform</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>videoinput-platform</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>tesseract-platform</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>leptonica-platform</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>flandmark-platform</artifactId> </exclusion> <exclusion> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>artoolkitplus-platform</artifactId> </exclusion> </exclusions> </dependency> <dependency> <groupId>org.bytedeco.javacpp-presets</groupId> <artifactId>ffmpeg</artifactId> <version>4.0.2-1.4.3</version> </dependency>
开始进行实现：
第一步：
前景背景求差法
#include <opencv2\core\core.hpp>#include <opencv2\highgui\highgui.hpp>#include <opencv2\imgproc\imgproc.hpp>#include "opencv2/photo/photo.hpp" #include <iostream> 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);//<span style="font-size:18px;">前景背景求差法</span>if (i > 2 && i <= 40){cv::cvtColor(frame, result, CV_BGR2GRAY);cv::bitwise_and(result, mask, mask);//<span style="font-size:18px;">前景背景求差法</span>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 <iostream>#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<end;i++){ frame = imread("D://video//images//movie_"+i+".jpg"); inpaint(frame, inpaintMask, inpainted, 8, INPAINT_TELEA);// opencv_imgcodecs.imwrite(video_path+"eguid"+i+".jpg", inpainted); vw1.write(inpainted); //写成视频文件 } vw1.release(); }
上述的图像和MP4文件自己准备就可以。感兴趣的可以去测试了。
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本文标题: 如何通过javacv实现图片去水印（附代码）
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