在 Java OpenCV 中填充和检测轮廓矩形
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Fill in and detect contour rectangles in Java OpenCV
提问by Arhowk
I have an initial starting image through some processing that looks like this
我通过一些看起来像这样的处理有一个初始起始图像
What I want to do it is to fill in the contours so it looks somewhat like this
我想要做的是填充轮廓，使其看起来有点像这样
and find the best fit parallelograms of the two (or more) squares which would let me get each one of the four bounding lines like this
并找到两个（或更多）正方形的最佳拟合平行四边形，这样我就可以得到这样的四条边界线中的每一条
If anyone could point me to the right functions that would help, but I can't find anything helpful. I've tried many distorted rectangle correctors but couldn't get them to work.
如果有人能指出我有帮助的正确功能，但我找不到任何有用的东西。我尝试了许多扭曲的矩形校正器，但无法让它们工作。
Heres current source code
继承人当前的源代码
/*
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
package javacvtesting;
import java.awt.FlowLayout;
import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
import java.io.ByteArrayInputStream;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.List;
import javax.imageio.ImageIO;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.imgproc.Imgproc;
import org.opencv.core.MatOfByte;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfPoint;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.Highgui;
/**
*
* @author Arhowk
*/
public class JavaCVTesting {
/**
* @param args the command line arguments
*//*
*/
public static BufferedImage convert(Mat m){
Mat image_tmp = m;
MatOfByte matOfByte = new MatOfByte();
Highgui.imencode(".png", image_tmp, matOfByte);
byte[] byteArray = matOfByte.toArray();
BufferedImage bufImage = null;
try {
InputStream in = new ByteArrayInputStream(byteArray);
bufImage = ImageIO.read(in);
} catch (Exception e) {
e.printStackTrace();
}finally{
return bufImage;
}
}
public static Mat convert(BufferedImage i){
BufferedImage image = i;
byte[] data = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
Mat mat = new Mat(image.getHeight(),image.getWidth(), CvType.CV_8UC3);
mat.put(0, 0, data);
return mat;
}
public static void show(BufferedImage i){
JFrame frame = new JFrame();
frame.getContentPane().setLayout(new FlowLayout());
frame.getContentPane().add(new JLabel(new ImageIcon(i)));
frame.pack();
frame.setVisible(true);
}
public static void main(String[] args) {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
Mat src = Highgui.imread("D:\0_image.png");
Imgproc.cvtColor(src, src, Imgproc.COLOR_BGR2HSV);
Mat dest = new Mat();
// Mat dest = new Mat(src.width(), src.height(), src.type());
Core.inRange(src, new Scalar(58,125,0), new Scalar(256,256,256), dest);
Mat erode = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(3,3));
Mat dilate = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(5,5));
Imgproc.erode(dest, dest, erode);
Imgproc.erode(dest, dest, erode);
Imgproc.dilate(dest, dest, dilate);
Imgproc.dilate(dest, dest, dilate);
List<MatOfPoint> contours = new ArrayList<>();
Imgproc.findContours(dest, contours, new Mat(), Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.drawContours(dest, contours, -1, new Scalar(255,255,0));
Panel p = new Panel();
p.setImage(convert(dest));
p.show();
}
}
回答by berak
sounds like you want floodfill()
听起来你想要floodfill()
回答by maylon
To determine the outer contours you may use findContours with mode RETR_EXTERNAL:
List<MatOfPoint> contours = new ArrayList<>(); Mat dest = Mat.zeros(mat.size(), CvType.CV_8UC3); Scalar white = new Scalar(255, 255, 255)); // Find contours Imgproc.findContours(image, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); // Draw contours in dest Mat Imgproc.drawContours(dest, contours, -1, white);Saving the obtained Mat you will get:
To fill in the obtained contours:
for (MatOfPoint contour: contours) Imgproc.fillPoly(dest, Arrays.asList(contour), white);Saving the new resulting Mat you will get this:
And to find the best fit rectangle for each contour:
Scalar green = new Scalar(81, 190, 0); for (MatOfPoint contour: contours) { RotatedRect rotatedRect = Imgproc.minAreaRect(new MatOfPoint2f(contour.toArray())); drawRotatedRect(dest, rotatedRect, green, 4); } public static void drawRotatedRect(Mat image, RotatedRect rotatedRect, Scalar color, int thickness) { Point[] vertices = new Point[4]; rotatedRect.points(vertices); MatOfPoint points = new MatOfPoint(vertices); Imgproc.drawContours(image, Arrays.asList(points), -1, color, thickness); }
要确定外部轮廓，您可以使用具有 RETR_EXTERNAL 模式的 findContours：
List<MatOfPoint> contours = new ArrayList<>(); Mat dest = Mat.zeros(mat.size(), CvType.CV_8UC3); Scalar white = new Scalar(255, 255, 255)); // Find contours Imgproc.findContours(image, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); // Draw contours in dest Mat Imgproc.drawContours(dest, contours, -1, white);保存获得的垫子，您将获得：
填充获得的轮廓：
for (MatOfPoint contour: contours) Imgproc.fillPoly(dest, Arrays.asList(contour), white);保存新生成的 Mat 你会得到这个：
并为每个轮廓找到最合适的矩形：
Scalar green = new Scalar(81, 190, 0); for (MatOfPoint contour: contours) { RotatedRect rotatedRect = Imgproc.minAreaRect(new MatOfPoint2f(contour.toArray())); drawRotatedRect(dest, rotatedRect, green, 4); } public static void drawRotatedRect(Mat image, RotatedRect rotatedRect, Scalar color, int thickness) { Point[] vertices = new Point[4]; rotatedRect.points(vertices); MatOfPoint points = new MatOfPoint(vertices); Imgproc.drawContours(image, Arrays.asList(points), -1, color, thickness); }
Finally you get this resulting image:
最后你得到这个结果图像：
