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Add Java and Python code for AKAZE local features matching tutorial. Fix incorrect uses of Mat.mul() in Java code.

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Uniform Lowe's ratio test in the code.
This commit is contained in:
catree
2018-07-02 14:59:00 +02:00
parent e4b51fa8ad
commit 481af5c469
13 changed files with 405 additions and 101 deletions
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samples/java/tutorial_code/ImgTrans/distance_transformation/ImageSegmentationDemo.java
+10 -6
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@@ -103,8 +103,9 @@ class ImageSegmentation {
// Normalize the distance image for range = {0.0, 1.0}
// so we can visualize and threshold it
Core.normalize(dist, dist, 0, 1., Core.NORM_MINMAX);
Mat distDisplayScaled = dist.mul(dist, 255);
Core.normalize(dist, dist, 0.0, 1.0, Core.NORM_MINMAX);
Mat distDisplayScaled = new Mat();
Core.multiply(dist, new Scalar(255), distDisplayScaled);
Mat distDisplay = new Mat();
distDisplayScaled.convertTo(distDisplay, CvType.CV_8U);
HighGui.imshow("Distance Transform Image", distDisplay);
@@ -113,14 +114,14 @@ class ImageSegmentation {
//! [peaks]
// Threshold to obtain the peaks
// This will be the markers for the foreground objects
Imgproc.threshold(dist, dist, .4, 1., Imgproc.THRESH_BINARY);
Imgproc.threshold(dist, dist, 0.4, 1.0, Imgproc.THRESH_BINARY);
// Dilate a bit the dist image
Mat kernel1 = Mat.ones(3, 3, CvType.CV_8U);
Imgproc.dilate(dist, dist, kernel1);
Mat distDisplay2 = new Mat();
dist.convertTo(distDisplay2, CvType.CV_8U);
distDisplay2 = distDisplay2.mul(distDisplay2, 255);
Core.multiply(distDisplay2, new Scalar(255), distDisplay2);
HighGui.imshow("Peaks", distDisplay2);
//! [peaks]
@@ -144,11 +145,14 @@ class ImageSegmentation {
}
// Draw the background marker
Imgproc.circle(markers, new Point(5, 5), 3, new Scalar(255, 255, 255), -1);
Mat markersScaled = markers.mul(markers, 10000);
Mat markersScaled = new Mat();
markers.convertTo(markersScaled, CvType.CV_32F);
Core.normalize(markersScaled, markersScaled, 0.0, 255.0, Core.NORM_MINMAX);
Imgproc.circle(markersScaled, new Point(5, 5), 3, new Scalar(255, 255, 255), -1);
Mat markersDisplay = new Mat();
markersScaled.convertTo(markersDisplay, CvType.CV_8U);
HighGui.imshow("Markers", markersDisplay);
Imgproc.circle(markers, new Point(5, 5), 3, new Scalar(255, 255, 255), -1);
//! [seeds]
//! [watershed]