我正在使用javacv开发项目,我能够识别多边形并将其存储在CvSeq中.我尝试访问该结构中的点,但它对我不起作用.那么请一些人解释如何在javacv中访问CvSeq结构中的点？

例如,我需要访问下面图像的8个边缘点.所以我能够访问多边形每一边的长度.

解决方法:

您可以通过以下课程来确定CvSeq的要点.此方法用于识别CvSeq中的点.

        for(int i = 0; i < rslt.total(); i++){
                CvPoint v=new CvPoint(cvGetSeqElem(rslt, i));
                cvDrawCircle(image, v, 5, CvScalar.BLUE, -1, 8, 0);
                System.out.println(" X value = "+v.x()+" ; Y value ="+v.y());
        }

在上面的方法中,rslt是包含Contour细节的CvSeq,在cvDrawCircle()方法中,它将在每个具有蓝色的点上绘制圆.下一行将打印每个点的x,y坐标.

    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.*;

    public class Test {
        public static void main(String[] args) {
            CvMemStorage storage=CvMemStorage.create();
            CvSeq squares = new CvContour();
            squares = cvCreateSeq(0, sizeof(CvContour.class), sizeof(CvSeq.class), storage);
            String path="C:/Users/Smash/Desktop/A.PNG";
            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);
            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);
            }
            if(!ss.isNull()){
                drawPoly(src, ss);
            }
        }
        public static void drawPoly( IplImage image, final CvSeq Poly )
        {
            CvSeq rslt=cvApproxPoly(Poly, Loader.sizeof(CvContour.class), cvCreateMemStorage(0), CV_POLY_APPROX_DP, cvContourPerimeter(Poly)*0.02, 0);
            System.out.println(rslt.total());
            for(int i = 0; i < rslt.total(); i++){
                    CvPoint v=new CvPoint(cvGetSeqElem(rslt, i));
                    cvDrawCircle(image, v, 5, CvScalar.BLUE, -1, 8, 0);
                    System.out.println(" X value = "+v.x()+" ; Y value ="+v.y());
            }
            final CanvasFrame canvas = new CanvasFrame("Point Identify");
            canvas.setDefaultCloseOperation(javax.swing.JFrame.EXIT_ON_CLOSE);
            canvas.showImage(image);
        }
    }

这是输出图像

这是相关的x,y坐标

 X value = 72 ; Y value =61
 X value = 72 ; Y value =177
 X value = 211 ; Y value =178
 X value = 211 ; Y value =380
 X value = 315 ; Y value =380
 X value = 316 ; Y value =177
 X value = 465 ; Y value =177
 X value = 465 ; Y value =61