-
-
Save sokolek/2ef24411e9c7259d2f5e to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import org.opencv.core.*; | |
import org.opencv.features2d.DescriptorExtractor; | |
import org.opencv.features2d.DescriptorMatcher; | |
import org.opencv.features2d.FeatureDetector; | |
import org.opencv.features2d.Features2d; | |
import org.opencv.highgui.Highgui; | |
/** | |
* Created by Marcin on 2014-11-04. | |
*/ | |
public class OpencvMaskTest { | |
static { | |
System.loadLibrary(Core.NATIVE_LIBRARY_NAME); | |
} | |
//setup SIFT detector and SIFT extractor | |
static DescriptorExtractor siftDescriptor = DescriptorExtractor.create(DescriptorExtractor.SIFT); | |
static FeatureDetector siftDetector = FeatureDetector.create(FeatureDetector.PYRAMID_SIFT); | |
public static void main(String[] args) { | |
// read images as Mat | |
Mat first = Highgui.imread("Cabildo_Catedralicio_(1913),_de_Refugio_Reyes_Rivas.jpg"); | |
Mat second = Highgui.imread("Cabildo_Catedralicio_(1913),_de_Refugio_Reyes_Rivas_1.jpg"); | |
//detect keyPoints | |
MatOfKeyPoint keyPointsFirst = getKeyPoints(first); | |
MatOfKeyPoint keyPointsSecond = getKeyPoints(second); | |
// calculate descriptors | |
Mat descriptorsFirst = getDescriptor(first, keyPointsFirst); | |
Mat descriptorsSecond = getDescriptor(second, keyPointsSecond); | |
//match points | |
MatOfDMatch matOfDMatch = getMatOfMatchedPoints(descriptorsFirst, descriptorsSecond); | |
MatOfByte mask = new MatOfByte(new byte[matOfDMatch.height()]); | |
Mat output = new Mat(); | |
Features2d.drawMatches( | |
first, keyPointsFirst, | |
second, keyPointsSecond, | |
matOfDMatch, | |
output, | |
Scalar.all(-1), Scalar.all(-1), | |
mask, // MASK!!!!!!!!!!!!!!!! | |
Features2d.NOT_DRAW_SINGLE_POINTS | |
); | |
Highgui.imwrite("matched.jpg", output); | |
} | |
public static MatOfKeyPoint getKeyPoints(Mat image) { | |
MatOfKeyPoint keyPoints = new MatOfKeyPoint(); | |
siftDetector.detect(image, keyPoints); | |
return keyPoints; | |
} | |
public static Mat getDescriptor(Mat image, MatOfKeyPoint keyPoints) { | |
Mat descriptor = new Mat(); | |
siftDescriptor.compute(image, keyPoints, descriptor); | |
return descriptor; | |
} | |
public static MatOfDMatch getMatOfMatchedPoints(Mat descriptorsFirst, Mat descriptorsSecond) { | |
MatOfDMatch matOfDMatch = new MatOfDMatch(); | |
DescriptorMatcher descriptorMatcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_SL2); | |
descriptorMatcher.match(descriptorsFirst, descriptorsSecond, matOfDMatch); | |
return matOfDMatch; | |
} | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment