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如何通过javacv实现图片去水印(附代码)

2019-11-26 08:49:49
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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_NORMED	double 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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