I try to load two Images and get the matched keypoints and draw convexhull on the matched keypoints with bigger size ..any help with this error this my code: import android.graphics.Bitmap; import android.graphics.BitmapFactory; import android.os.Bundle; import android.support.v7.app.AppCompatActivity; import android.util.Log; import android.widget.ImageView;
import org.opencv.android.Utils; import org.opencv.core.Mat; import org.opencv.core.MatOfDMatch; import org.opencv.core.MatOfInt; import org.opencv.core.MatOfKeyPoint; import org.opencv.core.MatOfPoint; import org.opencv.core.MatOfPoint2f; import org.opencv.core.Point; import org.opencv.core.Scalar; import org.opencv.features2d.DMatch; import org.opencv.features2d.DescriptorExtractor; import org.opencv.features2d.DescriptorMatcher; import org.opencv.features2d.FeatureDetector; import org.opencv.features2d.Features2d; import org.opencv.features2d.KeyPoint; import org.opencv.highgui.Highgui; import org.opencv.imgproc.Imgproc; import org.opencv.utils.Converters;
import java.util.ArrayList; import java.util.Iterator; import java.util.List;
import static java.lang.System.in; import static org.opencv.core.CvType.CV_8UC1; import static org.opencv.core.CvType.CV_8UC3; import static org.opencv.features2d.Features2d.drawKeypoints; import static org.opencv.highgui.Highgui.imread; import static org.opencv.imgproc.Imgproc.THRESH_BINARY; import static org.opencv.imgproc.Imgproc.convexHull; import static org.opencv.imgproc.Imgproc.drawContours; import static org.opencv.imgproc.Imgproc.findContours; import static org.opencv.imgproc.Imgproc.threshold;
public class MainActivity extends AppCompatActivity { static { System.loadLibrary("opencv_java"); System.loadLibrary("nonfree"); } private ImageView imageView; private Bitmap inputImage; // make bitmap from image resource private Bitmap inputImage2; // make bitmap from image resource private FeatureDetector detector = FeatureDetector.create(FeatureDetector.SIFT); DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SIFT);
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_main);
imageView = (ImageView) this.findViewById(R.id.imageView);
sift();
}
@Override
public void onResume() {
super.onResume();
}
public void sift() {
inputImage = BitmapFactory.decodeResource(getResources(), R.drawable.test);
inputImage2 = BitmapFactory.decodeResource(getResources(), R.drawable.shot);
Mat rgba = new Mat();
Mat rgba2 = new Mat();
Utils.bitmapToMat(inputImage, rgba);
Utils.bitmapToMat(inputImage2, rgba2);
MatOfKeyPoint keyPoints = new MatOfKeyPoint();
MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
Imgproc.cvtColor(rgba, rgba, Imgproc.COLOR_RGBA2GRAY);
Imgproc.cvtColor(rgba2, rgba2, Imgproc.COLOR_RGBA2GRAY);
detector.detect(rgba, keyPoints);
detector.detect(rgba2, keypoints2);
Mat descriptor1 = new Mat();
Mat descriptor2 = new Mat();
extractor.compute( rgba, keyPoints, descriptor1 );
extractor.compute( rgba2, keypoints2, descriptor2 );
MatOfDMatch matches1 =new MatOfDMatch();
DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE);
matcher.match(descriptor2, descriptor1, matches1 );
List<KeyPoint>obj=new ArrayList<>();
List<KeyPoint>scene=new ArrayList<>();
List<KeyPoint> filtered1=new ArrayList<KeyPoint>();
List<KeyPoint> filtered2=new ArrayList<KeyPoint>();
List<Point> filtered11=new ArrayList<>();
// List<Point> filtered22=new ArrayList<>();
// //Log.d("MainActivity","matches "+ matches1.size()); // List<dmatch> good_matches =new ArrayList<>();
for (int i=0;i<matches1.toArray().length ;i++) {
if (matches1.toArray()[i].distance <= 150 ) {
// good_matches.add(matches1.toArray()[i]);
DMatch match = matches1.toArray()[i];
KeyPoint x = keyPoints.toList().get(match.trainIdx);
obj.add(x);
filtered11.add(x.pt);
KeyPoint y = keypoints2.toList().get(match.queryIdx);
scene.add(y);
// filtered22.add(y.pt);
if (y.size > x.size) {
filtered1.add(x);
// filtered2.add(y);
}
}
}
/*********************************/
Mat cannyMat = new Mat();
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat();
MatOfInt hull = new MatOfInt();
// Mat fil1 = Converters.vector_KeyPoint_to_Mat(filtered1);
final MatOfPoint goodReferencePoints = new MatOfPoint();
goodReferencePoints.fromList(filtered11);
// final MatOfPoint2f goodScenePoints = new MatOfPoint2f();
//goodScenePoints.fromList(filtered22);
goodReferencePoints.convertTo(cannyMat,CV_8UC1);
Mat threshold_output=new Mat(cannyMat.height(),cannyMat.width(),CV_8UC1);
Imgproc.cvtColor(cannyMat, cannyMat, Imgproc.COLOR_RGBA2GRAY);
Imgproc.threshold(cannyMat, threshold_output, 100, 255,THRESH_BINARY);
Imgproc.findContours(threshold_output, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.convexHull(contours.get(0), hull);
Features2d.drawKeypoints(rgba2, keypoints2, rgba2);
Utils.matToBitmap(cannyMat, inputImage2);
imageView.setImageBitmap(inputImage2);
Log.d("MainActivity", "finish ");
}
}
