Android 打开CV检测纸返回奇怪/错误的坐标

我正在使用以下类检测/接收找到的文档/纸张：

public class DetekPs {

/**
 *  Object that encapsulates the contour and 4 points that makes the larger
 *  rectangle on the image
 */
public static class Quadrilateral {
    public MatOfPoint contour;
    public Point[] points;

    public Quadrilateral(MatOfPoint contour, Point[] points) {
        this.contour = contour;
        this.points = points;
    }
}

public static Quadrilateral findDocument( Mat inputRgba ) {
    ArrayList<MatOfPoint> contours = findContours(inputRgba);
    Quadrilateral quad = getQuadrilateral(contours);
    return quad;
}

private static ArrayList<MatOfPoint> findContours(Mat src) {

    double ratio = src.size().height / 500;
    int height = Double.valueOf(src.size().height / ratio).intValue();
    int width = Double.valueOf(src.size().width / ratio).intValue();
    Size size = new Size(width,height);

    Mat resizedImage = new Mat(size, CvType.CV_8UC4);
    Mat grayImage = new Mat(size, CvType.CV_8UC4);
    Mat cannedImage = new Mat(size, CvType.CV_8UC1);

    Imgproc.resize(src,resizedImage,size);
    Imgproc.cvtColor(resizedImage, grayImage, Imgproc.COLOR_RGBA2GRAY, 4);
    Imgproc.GaussianBlur(grayImage, grayImage, new Size(5, 5), 0);
    Imgproc.Canny(grayImage, cannedImage, 75, 200);

    ArrayList<MatOfPoint> contours = new ArrayList<MatOfPoint>();
    Mat hierarchy = new Mat();

    Imgproc.findContours(cannedImage, contours, hierarchy, Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);

    hierarchy.release();

    Collections.sort(contours, new Comparator<MatOfPoint>() {

        @Override
        public int compare(MatOfPoint lhs, MatOfPoint rhs) {
            return Double.valueOf(Imgproc.contourArea(rhs)).compareTo(Imgproc.contourArea(lhs));
        }
    });

    resizedImage.release();
    grayImage.release();
    cannedImage.release();

    return contours;
}

private static Quadrilateral getQuadrilateral(ArrayList<MatOfPoint> contours) {

    for ( MatOfPoint c: contours ) {
        MatOfPoint2f c2f = new MatOfPoint2f(c.toArray());
        double peri = Imgproc.arcLength(c2f, true);
        MatOfPoint2f approx = new MatOfPoint2f();
        Imgproc.approxPolyDP(c2f, approx, 0.02 * peri, true);

        Point[] points = approx.toArray();

        // select biggest 4 angles polygon
        if (points.length == 4) {
            Point[] foundPoints = sortPoints(points);

            return new Quadrilateral(c, foundPoints);
        }
    }

    return null;
}

private static Point[] sortPoints(Point[] src) {

    ArrayList<Point> srcPoints = new ArrayList<>(Arrays.asList(src));

    Point[] result = { null , null , null , null };

    Comparator<Point> sumComparator = new Comparator<Point>() {
        @Override
        public int compare(Point lhs, Point rhs) {
            return Double.valueOf(lhs.y + lhs.x).compareTo(rhs.y + rhs.x);
        }
    };

    Comparator<Point> diffComparator = new Comparator<Point>() {

        @Override
        public int compare(Point lhs, Point rhs) {
            return Double.valueOf(lhs.y - lhs.x).compareTo(rhs.y - rhs.x);
        }
    };

    // top-left corner = minimal sum
    result[0] = Collections.min(srcPoints, sumComparator);

    // bottom-right corner = maximal sum
    result[2] = Collections.max(srcPoints, sumComparator);

    // top-right corner = minimal diference
    result[1] = Collections.min(srcPoints, diffComparator);

    // bottom-left corner = maximal diference
    result[3] = Collections.max(srcPoints, diffComparator);

    return result;
 }

}

绘制要点：

@Override
protected void onDraw(Canvas canvas) {
    Log.e("i","he ra hu" );

    Paint paint2 = new Paint();
    paint2.setColor(Color.RED);
    paint2.setStrokeWidth(3);

    for(int idx=0;idx<po.length;idx++){
        canvas.drawCircle((float)po[idx].x,(float)po[idx].y, 6, paint2);
        Log.e("x",""+xx);
        Log.e("y",""+yy);
    }
}

这会导致绘制点时如下所示：

x: 23.0
y: 122.0

x: 249.0
y: 110.0


x: 249.0
y: 110.0

x: 0.0
y: 182.0

正如你所看到的，接收点和绘制点与我的图像相差很远。

---

问题在于原因是什么。我画错了吗？我得到了错误的分数吗？或者是关于我的图像/位图的大小/宽度的问题，因此我需要设置正确的纵横比/分辨率？

您是否检测到输入大小调整版本上的点？@eldesgraciado否图像大小保持不变。我在imageview上显示相同的显示，然后基本上将相同的图像传递给opencv分析仪

x: 23.0
y: 122.0

x: 249.0
y: 110.0


x: 249.0
y: 110.0

x: 0.0
y: 182.0