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TextDetectors.java
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TextDetectors.java
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package org.genericsystem.cv;
import javax.swing.JFrame;
import javax.swing.JLabel;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.Scalar;
import org.opencv.videoio.VideoCapture;
public class TextDetectors {
static {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
}
public static void main(String[] args) {
JFrame jframe = new JFrame("Mserdetector");
jframe.setResizable(false);
jframe.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
JLabel vidpanel = new JLabel();
jframe.setContentPane(vidpanel);
VideoCapture camera = new VideoCapture(0);
Mat frame = new Mat();
camera.read(frame);
jframe.setSize(frame.width(), frame.height());
jframe.setVisible(true);
for (;;) {
camera.read(frame);
Img frameImg = new Img(frame, false);
Img result = new Img(frame);
Zones.get(frameImg.sobel(), 400).draw(result, new Scalar(0, 255, 0), 1);
Zones.get(frameImg.mser(), 400).draw(result, new Scalar(255, 0, 0), 1);
Zones.get(frameImg.grad(3, 3), 400).draw(result, new Scalar(0, 0, 255), 1);
vidpanel.setIcon(result.getImageIcon());
vidpanel.repaint();
result.close();
frameImg.close();
}
}
// private static Scalar white = new Scalar(255, 255, 255);
// private static Scalar black = new Scalar(0, 0, 0);
// private static Scalar green = new Scalar(0, 255, 0);
// private static Scalar blue = new Scalar(255, 0, 0);
// private static Scalar red = new Scalar(0, 0, 255);
// private static Scalar cyan = new Scalar(255, 255, 0);
//
// public static void mserDetectText(Img frame) {
// Img gray = frame.cvtColor(Imgproc.COLOR_BGR2GRAY);
// MatOfKeyPoint keypoint = new MatOfKeyPoint();
// FeatureDetector detector = FeatureDetector.create(FeatureDetector.MSER);
// detector.detect(gray.getSrc(), keypoint);
// List<KeyPoint> listpoint = keypoint.toList();
// Mat mask = Mat.zeros(gray.size(), CvType.CV_8UC1);
// for (int ind = 0; ind < listpoint.size(); ind++) {
// KeyPoint kpoint = listpoint.get(ind);
// int rectanx1 = (int) (kpoint.pt.x - 0.5 * kpoint.size);
// int rectany1 = (int) (kpoint.pt.y - 0.5 * kpoint.size);
// int width = (int) (kpoint.size);
// int height = (int) (kpoint.size);
// if (rectanx1 <= 0)
// rectanx1 = 1;
// if (rectany1 <= 0)
// rectany1 = 1;
// if ((rectanx1 + width) > gray.width())
// width = gray.width() - rectanx1;
// if ((rectany1 + height) > gray.height())
// height = gray.height() - rectany1;
// Rect rectant = new Rect(rectanx1, rectany1, width, height);
// Mat roi = new Mat(mask, rectant);
// roi.setTo(new Scalar(255));
// }
//
// int imgsize = gray.height() * gray.width();
// Mat morbyte = new Mat();
// Mat hierarchy = new Mat();
// List<MatOfPoint> contours = new ArrayList<>();
// Imgproc.morphologyEx(mask, morbyte, Imgproc.MORPH_DILATE, new Mat(1, 50, CvType.CV_8UC1, new Scalar(255)));
// Imgproc.findContours(morbyte, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
// for (int i = 0; i < contours.size(); i++) {
// Rect rect = Imgproc.boundingRect(contours.get(i));
// if (rect.area() > 0.5 * imgsize || rect.area() < 100 || rect.width / rect.height < 2) {
// Mat roi = new Mat(morbyte, rect);
// roi.setTo(black);
// } else
// frame.rectangle(rect, green, 1);
// }
// }
//
// public static void lpdDetectText(Img frame) {
// Img gray = frame.cvtColor(Imgproc.COLOR_BGR2GRAY);
// Img sobel = gray.sobel(CvType.CV_8UC1, 1, 0, 3, 1, 0, Core.BORDER_DEFAULT);
// Img threshold = sobel.thresHold(0, 255, Imgproc.THRESH_OTSU + Imgproc.THRESH_BINARY);
// Img connected = threshold.morphologyEx(Imgproc.MORPH_CLOSE, new StructuringElement(Imgproc.MORPH_RECT, new Size(17, 3)));
// List<MatOfPoint> contours = connected.findContours(new Img[1], Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
// for (int i = 0; i < contours.size(); i++) {
// if (Imgproc.contourArea(contours.get(i)) > 400) {
// Rect rect = Imgproc.boundingRect(contours.get(i));
// if (rect.width > rect.height)
// frame.rectangle(rect, red, 2);
// }
// }
// }
//
// // MatOfPoint2f contour2F = new MatOfPoint2f(contour.toArray());
// // Point[] result = new Point[4];
// // Imgproc.minAreaRect(contour2F).points(result);
// // Imgproc.drawContours(frame, Arrays.asList(new MatOfPoint(result)), 0, new Scalar(255, 0, 0), 2);
//
// public static void morphGradientDetectText(Img frame) {
// Img gray = frame.cvtColor(Imgproc.COLOR_BGR2GRAY);
// Img grad = gray.morphologyEx(Imgproc.MORPH_GRADIENT, new StructuringElement(Imgproc.MORPH_ELLIPSE, new Size(3, 3)));
// Img threshold = grad.thresHold(0.0, 255.0, Imgproc.THRESH_OTSU + Imgproc.THRESH_BINARY);
// Img connected = threshold.morphologyEx(Imgproc.MORPH_CLOSE, new StructuringElement(Imgproc.MORPH_RECT, new Size(9, 1)));
// Mat mask = new Mat(threshold.size(), CvType.CV_8UC1, black);
// Img[] hierarchy = new Img[1];
// List<MatOfPoint> contours = connected.findContours(hierarchy, Imgproc.RETR_CCOMP, Imgproc.CHAIN_APPROX_SIMPLE, new Point(0, 0));
// for (int i = 0; i >= 0; i = (int) hierarchy[0].get(0, i)[0]) {
// Rect rect = Imgproc.boundingRect(contours.get(i));
// Mat maskROI = new Mat(mask, rect);
// maskROI.setTo(black);
// // fill the contour
// Imgproc.drawContours(mask, contours, i, white, Core.FILLED);
// // ratio of non-zero pixels in the filled region
// double r = Integer.valueOf(Core.countNonZero(maskROI)).doubleValue() / (rect.width * rect.height);
//
// if (r > .45 /* assume at least 45% of the area is filled if it contains text */
// && (rect.height > 8 && rect.width > 8) /* constraints on region size */
// /*
// * these two conditions alone are not very robust. better to use something like the number of significant peaks in a horizontal projection as a third condition
// */
// ) {
// frame.rectangle(rect, blue, 2);
// }
// }
//
// }
//
// public static void anotherDetector(Img frame) {
// Img gray = frame.cvtColor(Imgproc.COLOR_BGR2GRAY);
// Img sobel = gray.sobel(CvType.CV_8U, 1, 0, 3, 1, 0, Core.BORDER_DEFAULT);
// Img threshold = sobel.thresHold(0, 255, Imgproc.THRESH_OTSU + Imgproc.THRESH_BINARY);
// threshold = threshold.morphologyEx(Imgproc.MORPH_CLOSE, new StructuringElement(Imgproc.MORPH_RECT, new Size(17, 3)));
// List<MatOfPoint> contours = threshold.findContours(new Img[1], Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE);
// MatOfPoint2f mMOP2f1, mMOP2f2;
// mMOP2f1 = new MatOfPoint2f();
// mMOP2f2 = new MatOfPoint2f();
// for (int i = 0; i < contours.size(); i++)
// if (contours.get(i).toList().size() > 100) {
// contours.get(i).convertTo(mMOP2f1, CvType.CV_32FC2);
// Imgproc.approxPolyDP(mMOP2f1, mMOP2f2, 3, true);
// mMOP2f2.convertTo(contours.get(i), CvType.CV_32S);
// Rect appRect = Imgproc.boundingRect(contours.get(i));
// if (appRect.width > appRect.height)
// frame.rectangle(appRect, cyan, 1);
// }
// }
//
// public static void anotherMserDetector(Img frame) {
// Img gray = frame.cvtColor(Imgproc.COLOR_BGR2GRAY);
// FeatureDetector fd = FeatureDetector.create(FeatureDetector.MSER);
// MatOfKeyPoint mokp = new MatOfKeyPoint();
// Img edges = gray.canny(50, 200);
// fd.detect(gray.getSrc(), mokp, edges.getSrc());
// Features2d.drawKeypoints(frame.getSrc(), mokp, frame.getSrc());
// }
}