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Compare Fast Hough Transform / Radon results
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gs-cv/src/main/java/org/genericsystem/cv/application/DirectionalEnhancer.java
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| package org.genericsystem.cv.application; | ||
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| import org.genericsystem.cv.Lines; | ||
| import org.opencv.core.Mat; | ||
| import org.opencv.core.MatOfPoint; | ||
| import org.opencv.core.Scalar; | ||
| import org.opencv.core.Size; | ||
| import org.opencv.imgproc.Imgproc; | ||
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| import java.util.ArrayList; | ||
| import java.util.Arrays; | ||
| import java.util.List; | ||
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| public class DirectionalEnhancer { | ||
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| public static Lines getLines(Mat frame) { | ||
| Mat mat = prepare(frame); | ||
| Mat houghLines = new Mat(); | ||
| Imgproc.HoughLinesP(mat, houghLines, 1, Math.PI / 180, 10, 100, 10); | ||
| mat.release(); | ||
| Lines lines = new Lines(houghLines); | ||
| houghLines.release(); | ||
| return lines; | ||
| } | ||
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| public static Mat prepare(Mat frame) { | ||
| Mat mat = new Mat(); | ||
| Imgproc.cvtColor(frame, mat, Imgproc.COLOR_BGR2GRAY); | ||
| Imgproc.GaussianBlur(mat, mat, new Size(13, 13), 0); | ||
| Imgproc.adaptiveThreshold(mat, mat, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY_INV, 51, 2); | ||
| Imgproc.morphologyEx(mat, mat, Imgproc.MORPH_CLOSE, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(9, 9))); | ||
| Imgproc.morphologyEx(mat, mat, Imgproc.MORPH_OPEN, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(5, 5))); | ||
| List<MatOfPoint> contours = new ArrayList<>(); | ||
| Imgproc.findContours(mat, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); | ||
| for (MatOfPoint contour : contours) | ||
| Imgproc.drawContours(mat, Arrays.asList(contour), 0, new Scalar(255, 0, 0), -1); | ||
| Imgproc.morphologyEx(mat, mat, Imgproc.MORPH_GRADIENT, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(4, 4))); | ||
| return mat; | ||
| } | ||
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| } |
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gs-cv/src/main/java/org/genericsystem/cv/application/DirectionalEnhancerDemo.java
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| package org.genericsystem.cv.application; | ||
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| import org.genericsystem.cv.AbstractApp; | ||
| import org.genericsystem.cv.Img; | ||
| import org.genericsystem.cv.Lines; | ||
| import org.genericsystem.cv.utils.NativeLibraryLoader; | ||
| import org.opencv.core.Mat; | ||
| import org.opencv.core.MatOfPoint; | ||
| import org.opencv.core.Scalar; | ||
| import org.opencv.core.Size; | ||
| import org.opencv.imgproc.Imgproc; | ||
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| 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 java.util.stream.Collectors; | ||
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| import javafx.application.Platform; | ||
| import javafx.scene.image.Image; | ||
| import javafx.scene.image.ImageView; | ||
| import javafx.scene.layout.GridPane; | ||
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| public class DirectionalEnhancerDemo extends AbstractApp { | ||
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| public static void main(String[] args) { | ||
| launch(args); | ||
| } | ||
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| static { | ||
| NativeLibraryLoader.load(); | ||
| } | ||
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| private final double f = 6.053 / 0.009; | ||
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| private GSCapture gsCapture = new GSVideoCapture(0, f, GSVideoCapture.HD, GSVideoCapture.VGA); | ||
| private SuperFrameImg superFrame = gsCapture.read(); | ||
| 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] }; | ||
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| private void startTimer() { | ||
| timer.scheduleAtFixedRate(() -> { | ||
| try { | ||
| Image[] images = doWork(); | ||
| if (images != null) | ||
| Platform.runLater(() -> { | ||
| Iterator<Image> it = Arrays.asList(images).iterator(); | ||
| for (int row = 0; row < imageViews.length; row++) | ||
| for (int col = 0; col < imageViews[row].length; col++) | ||
| if (it.hasNext()) | ||
| imageViews[row][col].setImage(it.next()); | ||
| }); | ||
| } catch (Throwable e) { | ||
| e.printStackTrace(); | ||
| } | ||
| }, 1000, 30, TimeUnit.MILLISECONDS); | ||
| } | ||
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| @Override | ||
| protected void fillGrid(GridPane mainGrid) { | ||
| double displaySizeReduction = 1.5; | ||
| for (int col = 0; col < imageViews.length; col++) | ||
| for (int row = 0; row < imageViews[col].length; row++) { | ||
| ImageView imageView = new ImageView(); | ||
| imageViews[col][row] = imageView; | ||
| mainGrid.add(imageViews[col][row], col, row); | ||
| imageView.setFitWidth(superFrame.width() / displaySizeReduction); | ||
| imageView.setFitHeight(superFrame.height() / displaySizeReduction); | ||
| } | ||
| startTimer(); | ||
| } | ||
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| private Image[] doWork() { | ||
| System.out.println("do work"); | ||
| if (!config.stabilizedMode) { | ||
| superFrame = gsCapture.read(); | ||
| } | ||
| Image[] images = new Image[12]; | ||
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| long ref = System.currentTimeMillis(); | ||
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| // Mat mat = DirectionalEnhancer.prepare(superFrame.getFrame().getSrc()); | ||
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| Mat mat = new Mat(); | ||
| Imgproc.cvtColor(superFrame.getFrame().getSrc(), mat, Imgproc.COLOR_BGR2GRAY); | ||
| Imgproc.GaussianBlur(mat, mat, new Size(13, 13), 0); | ||
| images[0] = new Img(mat, false).toJfxImage(); | ||
| Imgproc.adaptiveThreshold(mat, mat, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY_INV, 7, 2); | ||
| images[1] = new Img(mat, false).toJfxImage(); | ||
| Imgproc.morphologyEx(mat, mat, Imgproc.MORPH_CLOSE, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(9, 9))); | ||
| // images[2] = new Img(mat, false).toJfxImage(); | ||
| // Imgproc.morphologyEx(mat, mat, Imgproc.MORPH_OPEN, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(5, 5))); | ||
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| images[2] = new Img(mat, false).toJfxImage(); | ||
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| List<MatOfPoint> contours = new ArrayList<>(); | ||
| Imgproc.findContours(mat, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); | ||
| for (MatOfPoint contour : contours) | ||
| Imgproc.drawContours(mat, Arrays.asList(contour), 0, new Scalar(255, 0, 0), -1); | ||
| images[3] = new Img(mat, false).toJfxImage(); | ||
| Mat gradient = new Mat(); | ||
| Imgproc.morphologyEx(mat, gradient, Imgproc.MORPH_GRADIENT, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(4, 4))); | ||
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| images[4] = new Img(gradient, false).toJfxImage(); | ||
| Mat smallLines = new Mat(); | ||
| Mat bigLines = new Mat(); | ||
| Imgproc.HoughLinesP(gradient, bigLines, 1, Math.PI / 180, 10, 30, 10); | ||
| Imgproc.HoughLinesP(gradient, smallLines, 1, Math.PI / 180, 10, 30, 10); | ||
| Lines slines = new Lines(smallLines); | ||
| Lines blines = new Lines(bigLines); | ||
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| Mat result = Mat.zeros(superFrame.getFrame().getSrc().size(), superFrame.getFrame().getSrc().type()); | ||
| Lines horizontalLines = new Lines(blines.getLines().stream().filter(l -> Math.abs(l.y2 - l.y1) < Math.abs(l.x2 - l.x1)).collect(Collectors.toList())); | ||
| horizontalLines.draw(result, new Scalar(0, 255, 0), 2); | ||
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| Lines verticalLines = new Lines(slines.getLines().stream().filter(l -> Math.abs(l.y2 - l.y1) > Math.abs(l.x2 - l.x1)).collect(Collectors.toList())); | ||
| verticalLines.draw(result, new Scalar(0, 0, 255), 2); | ||
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| images[5] = new Img(result, false).toJfxImage(); | ||
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| horizontalLines.draw(mat, new Scalar(255), 2); | ||
| verticalLines.draw(mat, new Scalar(255), 2); | ||
| ref = trace("Draw lines", ref); | ||
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| Imgproc.findContours(mat, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); | ||
| for (MatOfPoint contour : contours) | ||
| Imgproc.drawContours(mat, Arrays.asList(contour), 0, new Scalar(255, 0, 0), -1); | ||
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| images[6] = new Img(mat, false).toJfxImage(); | ||
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| Imgproc.morphologyEx(mat, gradient, Imgproc.MORPH_GRADIENT, Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(3, 3))); | ||
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| images[7] = new Img(gradient, false).toJfxImage(); | ||
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| Imgproc.HoughLinesP(gradient, bigLines, 1, Math.PI / 180, 100, 300, 50); | ||
| Imgproc.HoughLinesP(gradient, smallLines, 1, Math.PI / 180, 25, 40, 13); | ||
| slines = new Lines(smallLines); | ||
| blines = new Lines(bigLines); | ||
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| result = Mat.zeros(superFrame.getFrame().getSrc().size(), superFrame.getFrame().getSrc().type()); | ||
| horizontalLines = new Lines(blines.getLines().stream().filter(l -> Math.abs(l.y2 - l.y1) < Math.abs(l.x2 - l.x1)).collect(Collectors.toList())); | ||
| horizontalLines.draw(result, new Scalar(0, 255, 0), 2); | ||
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| verticalLines = new Lines(slines.getLines().stream().filter(l -> Math.abs(l.y2 - l.y1) > Math.abs(l.x2 - l.x1)).collect(Collectors.toList())); | ||
| verticalLines.draw(result, new Scalar(0, 0, 255), 2); | ||
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| images[8] = new Img(result, false).toJfxImage(); | ||
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| mat.release(); | ||
| result.release(); | ||
| return images; | ||
| } | ||
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| private long trace(String message, long ref) { | ||
| long last = System.currentTimeMillis(); | ||
| System.out.println(message + " : " + (last - ref)); | ||
| return last; | ||
| } | ||
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| @Override | ||
| protected void onS() { | ||
| config.stabilizedMode = !config.stabilizedMode; | ||
| } | ||
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| @Override | ||
| protected void onSpace() { | ||
| if (config.isOn) { | ||
| timer.shutdown(); | ||
| // gsCapture.release(); | ||
| } else { | ||
| timer = new BoundedScheduledThreadPoolExecutor(); | ||
| // gsCapture = new GSVideoCapture(0, f, GSVideoCapture.HD, GSVideoCapture.VGA); | ||
| startTimer(); | ||
| } | ||
| config.isOn = !config.isOn; | ||
| } | ||
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| @Override | ||
| protected void onT() { | ||
| config.textsEnabledMode = !config.textsEnabledMode; | ||
| } | ||
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| @Override | ||
| public void stop() throws Exception { | ||
| super.stop(); | ||
| timer.shutdown(); | ||
| timer.awaitTermination(5000, TimeUnit.MILLISECONDS); | ||
| gsCapture.release(); | ||
| } | ||
|
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| } |
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