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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。
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持谷谷点程序。
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