如何识别和填充我在javacv中塑造轮廓？

Question

我正在开发关于javacv的项目,我需要知道如何识别以下图像并使用特定颜色填充图像？

我尝试通过这个问题,这是我使用的图像

我尝试通过这段代码,并在javacv中开发了一个代码

import com.googlecode.javacpp.Loader;
import com.googlecode.javacv.CanvasFrame;
import static com.googlecode.javacpp.Loader.*;
import static com.googlecode.javacv.cpp.opencv_core.*;
import static com.googlecode.javacv.cpp.opencv_highgui.*;
import static com.googlecode.javacv.cpp.opencv_imgproc.*;
import java.io.File;
import javax.swing.JFileChooser;

public class PolyGonIdentification {
    public static void main(String[] args) {
        CanvasFrame cnvs=new CanvasFrame("Polygon");
        cnvs.setDefaultCloseOperation(javax.swing.JFrame.EXIT_ON_CLOSE);

        CvMemStorage storage=CvMemStorage.create();
        CvSeq squares = new CvContour();
        squares = cvCreateSeq(0, sizeof(CvContour.class), sizeof(CvSeq.class), storage);
        JFileChooser f=new JFileChooser();
        int result=f.showOpenDialog(f);//show dialog box to choose files
        File myfile=null;
        String path="";
        if(result==0){
            myfile=f.getSelectedFile();//selected file taken to myfile
            path=myfile.getAbsolutePath();//get the path of the file
        }
        IplImage src = cvLoadImage(path);//hear path is actual path to image
        IplImage gry=cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);
        cvCvtColor(src, gry, CV_BGR2GRAY);
        cvThreshold(gry, gry, 230, 255, CV_THRESH_BINARY_INV);
        cvFindContours(gry, storage, squares, Loader.sizeof(CvContour.class),    CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE);
        System.out.println(squares.total());
        for (int i=0; i<squares.total(); i++)
        {
            cvDrawContours(gry, squares, CvScalar.ONE, CvScalar.ONE, 127, 1, 8);
        }
        IplConvKernel mat=cvCreateStructuringElementEx(7, 7, 3, 3, CV_SHAPE_RECT,    null);
        cvDilate(gry, gry, mat, CV_C);
        cvErode(gry, gry, mat, CV_C);
        cnvs.showImage(gry);

    }
}

我的最终结果应该像这张图片

上面的代码产生了这种形象.有人可以帮我解决这个问题吗？

Answer 1

您可以使用此代码存档

    import com.googlecode.javacpp.Loader;
    import com.googlecode.javacv.CanvasFrame;
    import static com.googlecode.javacpp.Loader.*;
    import static com.googlecode.javacv.cpp.opencv_core.*;
    import static com.googlecode.javacv.cpp.opencv_highgui.*;
    import static com.googlecode.javacv.cpp.opencv_imgproc.*;
    import java.io.File;
    import javax.swing.JFileChooser;

    public class Ishape {
        public static void main(String[] args) {
            CanvasFrame cnvs=new CanvasFrame("Polygon");
            cnvs.setDefaultCloseOperation(javax.swing.JFrame.EXIT_ON_CLOSE);

            CvMemStorage storage=CvMemStorage.create();
            CvSeq squares = new CvContour();
            squares = cvCreateSeq(0, sizeof(CvContour.class), sizeof(CvSeq.class), storage);
            JFileChooser f=new JFileChooser();
            int result=f.showOpenDialog(f);//show dialog box to choose files
                File myfile=null;
                String path="";
            if(result==0){
                myfile=f.getSelectedFile();//selected file taken to myfile
                path=myfile.getAbsolutePath();//get the path of the file
            }
            IplImage src = cvLoadImage(path);//hear path is actual path to image
            IplImage gry=cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);
            cvCvtColor(src, gry, CV_BGR2GRAY);
            cvThreshold(gry, gry, 230, 255, CV_THRESH_BINARY_INV);
            cvFindContours(gry, storage, squares, Loader.sizeof(CvContour.class), CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
            CvSeq ss=null;
            for (int i=0; i<1; i++)
            {
                cvDrawContours(gry, squares, CvScalar.WHITE, CV_RGB(248, 18, 18), 1, -1, 8);
                ss=cvApproxPoly(squares, sizeof(CvContour.class), storage, CV_POLY_APPROX_DP, 8, 0);
            }
            IplConvKernel mat=cvCreateStructuringElementEx(7, 7, 3, 3, CV_SHAPE_RECT, null);
            cvDilate(gry, gry, mat, CV_C);
            cvErode(gry, gry, mat, CV_C);
            cnvs.showImage(gry);

        }
    }

结果

这将得到结果，我相信这可能会帮助您解决您的问题。