javacv中怎么給圖片去水印-創(chuàng)新互聯(lián)

javacv中怎么給圖片去水印，相信很多沒有經驗的人對此束手無策，為此本文總結了問題出現(xiàn)的原因和解決方法，通過這篇文章希望你能解決這個問題。

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首先導入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>

開始進行實現(xiàn)：

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) //看視頻，自己調試確定這個值，二十幾幀之后左上角那個小圖才出來，所以選了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 >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 >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和水印位置檢測

#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); //用來顯示IplImage *templat = cvLoadImage("C:/Users/zyy/Desktop/test_logs/yk2.jpg", 0);IplImage *result;if (!src || !templat){cout << "打開圖像失敗" << 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 << "模板不能比原圖像小" << 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 << " 較大值：" << 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：

在已經求得掩膜圖像的情況下，進行去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); //寫成視頻文件 } vw1.release(); }

看完上述內容，你們掌握javacv中怎么給圖片去水印的方法了嗎？如果還想學到更多技能或想了解更多相關內容，歡迎關注創(chuàng)新互聯(lián)行業(yè)資訊頻道，感謝各位的閱讀！

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