Detect blur on images

gs-cv/src/main/java/org/genericsystem/cv/application/FHT.java

@@ -37,7 +37,7 @@ public static Mat fastHoughTransform(Mat strip) {
 		Ximgproc.FastHoughTransform(strip, houghTransform, CvType.CV_64FC1, Ximgproc.ARO_45_135, Ximgproc.FHT_ADD, Ximgproc.HDO_DESKEW);
 		Core.transpose(houghTransform, houghTransform);
 		Core.normalize(houghTransform, houghTransform, 0, 1, Core.NORM_MINMAX);
-		return new Mat(houghTransform, new Range(strip.width() / 2 - 1, houghTransform.height() - strip.width() / 2 + 1), new Range(0, houghTransform.width()));
+		return new Mat(houghTransform, new Range(strip.width() / 2 - 1, houghTransform.height() - strip.width() / 2 - 1), new Range(0, houghTransform.width()));
 	}
 
 	static Mat adaptivHough(Mat houghTransform, int blurSize) {

gs-cv/src/main/java/org/genericsystem/cv/application/FHTManager.java

@@ -43,8 +43,8 @@ public class FHTManager {
 	private DoubleProperty vMaxConnectDistance = new SimpleDoubleProperty(0.05);
 	private DoubleProperty interpolatorPow = new SimpleDoubleProperty(4);
 	private DoubleProperty interpolatorMinDist = new SimpleDoubleProperty(0.0001);
-	private IntegerProperty halfGridWidth = new SimpleIntegerProperty(6);
-	private IntegerProperty halfGridHeight = new SimpleIntegerProperty(4);
+	private IntegerProperty halfGridWidth = new SimpleIntegerProperty(8);
+	private IntegerProperty halfGridHeight = new SimpleIntegerProperty(8);
 	private IntegerProperty optimizationsCount = new SimpleIntegerProperty(0);
 
 	private final Size binarySize;

gs-cv/src/main/java/org/genericsystem/cv/application/GraphicApp.java

@@ -17,6 +17,7 @@
 import org.opencv.core.Core;
 import org.opencv.core.CvType;
 import org.opencv.core.Mat;
+import org.opencv.core.MatOfDouble;
 import org.opencv.core.MatOfPoint;
 import org.opencv.core.MatOfRect;
 import org.opencv.core.Point;
@@ -119,6 +120,7 @@ private Image[] doWork() {
 
 		Img binarized = frame.adaptativeGaussianInvThreshold(7, 5);
 		Img flat = fhtManager.init(frame.getSrc(), binarized.getSrc()).getDewarp();
+
 		images[1] = flat.toJfxImage();
 		ref = trace("Dewarp", ref);
 		// Img flatBinarized = flat.adaptativeGaussianInvThreshold(7, 5);
@@ -163,8 +165,18 @@ private Image[] doWork() {
 
 		Mat flatDisplay2 = Mat.zeros(flat.size(), flat.type());
 		Labels labels = new Labels(detectedClosedRects);
-		labels.ocr(flat.getSrc(), 1, 1, 2, 2);
+		labels.ocr(flat.getSrc(), 0, 1, 2, 2);
 		labels.putOcr(flatDisplay2);
+		Mat destination = new Mat();
+		Mat matGray = new Mat();
+		Imgproc.cvtColor(flat.getSrc(), matGray, Imgproc.COLOR_BGR2GRAY);
+		Imgproc.Laplacian(matGray, destination, 3);
+		MatOfDouble median = new MatOfDouble();
+		MatOfDouble std = new MatOfDouble();
+		Core.meanStdDev(destination, median, std);
+		Imgproc.putText(flatDisplay2, "Quality : " + (int) Math.pow(std.get(0, 0)[0], 2), new Point(50, 50), Core.FONT_HERSHEY_PLAIN, 1, new Scalar(0, 0, 255), 1);
+
+		System.out.println("Quality : " + Math.pow(std.get(0, 0)[0], 2));
 		images[4] = new Img(flatDisplay2, false).toJfxImage();
 		ref = trace("Ocr", ref);
 
@@ -304,7 +316,7 @@ public void putOcr(Mat img) {
 
 			if (scale < 0.3 && scale > 3)
 				scale = 1;
-			Imgproc.putText(img, normalizedText, new Point(rect.tl().x, rect.br().y), Core.FONT_HERSHEY_PLAIN, scale, new Scalar(0, 0, 255), 1);
+			Imgproc.putText(img, normalizedText, new Point(rect.tl().x, rect.br().y), Core.FONT_HERSHEY_PLAIN, scale, new Scalar(0, 255, 0), 1);
 		}
 
 		public String getLabel() {

gs-cv/src/main/java/org/genericsystem/cv/application/MserTextDetector.java

@@ -1,12 +1,5 @@
 package org.genericsystem.cv.application;
 
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Iterator;
-import java.util.List;
-import java.util.concurrent.ScheduledExecutorService;
-import java.util.concurrent.TimeUnit;
-
 import org.genericsystem.cv.AbstractApp;
 import org.genericsystem.cv.Img;
 import org.genericsystem.cv.utils.NativeLibraryLoader;
@@ -19,6 +12,14 @@
 import org.opencv.imgproc.Imgproc;
 import org.opencv.utils.Converters;
 
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Iterator;
+import java.util.List;
+import java.util.concurrent.ScheduledExecutorService;
+import java.util.concurrent.TimeUnit;
+
+
 import javafx.application.Platform;
 import javafx.scene.image.Image;
 import javafx.scene.image.ImageView;
@@ -39,7 +40,7 @@ public static void main(String[] args) {
 	private ScheduledExecutorService timer = new BoundedScheduledThreadPoolExecutor();
 	private Config config = new Config();
 	private final ImageView[][] imageViews = new ImageView[][] { new ImageView[3], new ImageView[3], new ImageView[3], new ImageView[3] };
-	private final MSER detector = MSER.create(2, 10, 2000, 0.25, 0.2, 200, 1.01, 0.03, 5);
+	private final MSER detector = MSER.create(2, 10, 1000, 0.25, 0.2, 200, 1.01, 0.03, 5);
 
 	private void startTimer() {
 		timer.scheduleAtFixedRate(() -> {