OpenCV的getPerspectiveTransform和warpPerspective的Java

我現在有一個ArrayList<MatOfPoint>存儲圖像的輪廓，並取回這是我的目標warpPerspective最大的輪廓。OpenCV的getPerspectiveTransform和warpPerspective的Java

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);

我有關於如何使用getPerspectiveTransform麻煩，然後應用warpPerspective改變形象，使其一個450x450的圖像內適應。

我發現這個在python的相當不錯的例子，但我不是很熟悉的話可以有人解釋我怎麼會在java中不糾正？

def rectify(h): 
    ''' this function put vertices of square we got, in clockwise order ''' 
    h = h.reshape((4,2)) 
    hnew = np.zeros((4,2),dtype = np.float32) 

    add = h.sum(1) 
    hnew[0] = h[np.argmin(add)] 
    hnew[2] = h[np.argmax(add)] 

    diff = np.diff(h,axis = 1) 
    hnew[1] = h[np.argmin(diff)] 
    hnew[3] = h[np.argmax(diff)] 

    return hnew

這裏是源鏈接：https://github.com/abidrahmank/OpenCV2-Python/blob/master/OpenCV_Python_Blog/sudoku_v_0.0.6/sudoku.py

來源

2016-11-19 Tony Lin

介紹：利用wrapPerspective的，我們需要計算使用getPerspectiveTransform包裹墊需要：墊src和墊DST。這些是MarOfPoints2f，帶有src（左下角，右下角，左上角，右上角）輪廓和相應的mat dst（0,0; 0,449; 449,0; 449,449）（因此圖像將是450x450 - 如果這是錯誤的，請糾正我）。

解決方案在Java中的OpenCV的3將是：

獲得積分排序由矩形輪廓MatOfPoints2f約我們需要的積分排序上面寫着：

//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++; 
    } 
}

準備墊src和DET

 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)  
       );

使用getPerspectiveTransform和wrapPrespective

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

我剛做完類似的項目，所以我相信這是可以做到更好，但它是一個可行的解決方案，如果有人需要一個。

來源

2017-07-18 10:17:59

OpenCV的getPerspectiveTransform和warpPerspective的Java

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