我的代码工作良好,但是当它提取关键点时,它匹配的两个图像差.
在这里你可以找到我的代码,但是我不知道如何在JAVA Android中绘制出很好的匹配
在这里你可以找到我的代码,但是我不知道如何在JAVA Android中绘制出很好的匹配
descriptors = new Mat();
keypoints = new MatOfKeyPoint();
detector = FeatureDetector.create(FeatureDetector.ORB);
detector.detect(img1,keypoints);
descriptor = DescriptorExtractor.create(DescriptorExtractor.ORB);
descriptor.compute(img1,keypoints,descriptors);
matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMING);
ColorDetection.cvt_YUVtoRGBtoHSV(mYuv,mGraySubmat);
MatOfKeyPoint mKeyPoints = new MatOfKeyPoint();
MatOfDMatch matches = new MatOfDmatch();
detector.detect(mGraySubmat,mKeyPoints);
descriptor.compute(mGraySubmat,mKeyPoints,mIntermediateMat);
matcher.match(mIntermediateMat,descriptors,matches);
mIntermediateMat2.create(resultSize,CvType.CV_8UC1);
Features2d.drawMatches(img1,mGraySubmat,matches,mIntermediateMat2,GREEN,RED,MATCH_MASK,Features2d.NOT_DRAW_SINGLE_POINTS);
Imgproc.resize(mIntermediateMat2,mRgba.size());
Imgproc.cvtColor(mIntermediateMat2,mRgba,Imgproc.COLOR_RGBA2BGRA,4);
Utils.matToBitmap(mRgba,bmp);
DMatch dm[] = matches.toArray();
List<Point> lp1 = new ArrayList<Point>(dm.length);
List<Point> lp2 = new ArrayList<Point>(dm.length);
KeyPoint tkp[] = keypoints.toArray();
KeyPoint qkp[] = mKeyPoints.toArray();
for (int i = 0; i < dm.length; i++) {
DMatch dma = dm[i];
lp1.add(tkp[dma.trainIdx].pt);
lp2.add(qkp[dma.queryIdx].pt);
}
MatOfPoint2f pointsPrev = new MatOfPoint2f(lp1.toArray(new Point[0]));
MatOfPoint2f pointsAct = new MatOfPoint2f(lp2.toArray(new Point[0]));
Log.i("pointsPrev",pointsPrev.size().toString());
Log.i("pointsAct",pointsAct.size().toString());
fundamental_matrix.create(resultSize,CvType.CV_8UC1);
fundamental_matrix = Calib3d.findFundamentalMat(
pointsAct,pointsPrev,Calib3d.FM_RANSAC,3,0.99);
任何建议？
编辑：
我无法将比赛转换成列表！因为Feature2d.drawMatches()
需要一个MatOfDmatch而不是List< Dmatch>
MatOfDMatch matches,matches12,matches21;
matcher.match( descriptors1,descriptors2,matches12 );
matcher.match( descriptors2,descriptors1,matches21 );
iterate matches12
DMatch forward = matches12[i];
DMatch backward = matches21[forward.trainIdx];
if( backward.trainIdx == forward.queryIdx )
//add forward to matches
Features2d.drawMatches(img1,mIntermediateMat2);
解决方法
你的代码应该是这样的：
FeatureDetector detector = FeatureDetector.create(FeatureDetector.ORB);
DescriptorExtractor descriptor = DescriptorExtractor.create(DescriptorExtractor.ORB);;
DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMING);
//first image
Mat img1 = Highgui.imread("<image1 path>");
Mat descriptors1 = new Mat();
MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
detector.detect(img1,keypoints1);
descriptor.compute(img1,keypoints1,descriptors1);
//second image
Mat img2 = Highgui.imread("<image2 path>");
Mat descriptors2 = new Mat();
MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
detector.detect(img2,keypoints2);
descriptor.compute(img2,keypoints2,descriptors2);
//matcher should include 2 different image's descriptors
MatOfDMatch matches = new MatOfDmatch();
matcher.match(descriptors1,matches);
//feature and connection colors
Scalar RED = new Scalar(255,0);
Scalar GREEN = new Scalar(0,255,0);
//output image
Mat outputImg = new Mat();
MatOfByte drawnMatches = new MatOfByte();
//this will draw all matches,works fine
Features2d.drawMatches(img1,img2,outputImg,drawnMatches,Features2d.NOT_DRAW_SINGLE_POINTS);
此外,如果您只想显示功能,可以添加以下代码：
Mat featuredImg = new Mat(); Scalar kpColor = new Scalar(255,159,10);//this will be color of keypoints //featuredImg will be the output of first image Features2d.drawKeypoints(img1,featuredImg,kpColor,0); //featuredImg will be the output of first image Features2d.drawKeypoints(img1,0);
那么你可以显示这样的匹配点：
Bitmap imageMatched = Bitmap.createBitmap(outputImg.cols(),outputImg.rows(),Bitmap.Config.RGB_565);//need to save bitmap Utils.matToBitmap(outputImg,imageMatched); ImageView.setimageBitmap(imageMatched);
最终你可以实现好的比赛.我希望this thread将会有所帮助.