OpenCV getPerspectiveTransform和Java透视图

我当前有一个

ArrayList

，它存储图像的轮廓，并检索到最大的轮廓，这是我的透视目标

List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Imgproc.findContours(matOut, contours, new Mat(), Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);

sort(contours);
MatOfPoint2f  m2f = MatOfPoint2f(contours.get(0).toArray());
double arc = Imgproc.arcLength(m2f, true);
MatOfPoint2f approx = new MatOfPoint2f();
Imgproc.approxPolyDP(m2f, approx, arc*0.02, true);

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这里是源链接：

简介：要使用wrapPerspective，我们需要使用getPerspectiveTransform计算包装垫：mat src和mat dst。这些是带有轮廓src（左上、右上、左下、右下）和相应的mat dst（0,0；0449；449,0；449449）的MatOfPoints2f（因此图像将为450x450-如果这是错误的，请纠正我）

opencv 3的Java解决方案是：

整理积分 矩形轮廓为MatOfPoints2f约我们需要按照上面所述对点进行排序：

//calculate the center of mass of our contour image using moments
Moments moment = Imgproc.moments(approx.get(0));
int x = (int) (moment.get_m10() / moment.get_m00());
int y = (int) (moment.get_m01() / moment.get_m00());

//SORT POINTS RELATIVE TO CENTER OF MASS 
Point[] sortedPoints = new Point[4];

double[] data;
int count = 0;
for(int i=0; i<approx.get(0).rows(); i++){
    data = approx.get(0).get(i, 0);
    double datax = data[0];
    double datay = data[1];
    if(datax < x && datay < y){
        sortedPoints[0]=new Point(datax,datay);
        count++;
    }else if(datax > x && datay < y){
        sortedPoints[1]=new Point(datax,datay);
        count++;
    }else if (datax < x && datay > y){
        sortedPoints[2]=new Point(datax,datay);
        count++;
    }else if (datax > x && datay > y){
        sortedPoints[3]=new Point(datax,datay);
        count++;
    }
}

使用getPerspectiveTransform和WrapSpective

    Mat warpMat = Imgproc.getPerspectiveTransform(src,dst);
    //This is you new image as Mat
    Mat destImage = new Mat();
    Imgproc.warpPerspective(originalImg, destImage, warpMat, originalImg.size());

我刚刚完成了类似的项目，所以我相信这可以做得更好，但这是一个工作的解决方案，如果任何人需要一个

        MatOfPoint2f src = new MatOfPoint2f(
                sortedPoints[0],
                sortedPoints[1],
                sortedPoints[2],
                sortedPoints[3]);

        MatOfPoint2f dst = new MatOfPoint2f(
                new Point(0, 0),
                new Point(450-1,0),
                new Point(0,450-1),
                new Point(450-1,450-1)      
                );

    Mat warpMat = Imgproc.getPerspectiveTransform(src,dst);
    //This is you new image as Mat
    Mat destImage = new Mat();
    Imgproc.warpPerspective(originalImg, destImage, warpMat, originalImg.size());