java版利用opencv根据RotateRect裁剪图像区域算法

public Mat guiyihuaMatByRoi(Mat cpsrcMat,RotatedRect rotatedRect){        /*Point[] rectPoints=new Point[4];        rotatedRect.points(rectPoints);//存储矩形4点坐标        for(int i=0;i<rectPoints.length;i++){            Imgproc.line(cpsrcMat,rectPoints[i],rectPoints[(i+1)%rectPoints.length],new Scalar(255, 0, 0),2);        }*/        Mat rotated=new Mat();        //角度        double angle = 0;        if(rotatedRect.size.width < rotatedRect.size.height){            angle=rotatedRect.angle+180;        }else{            angle=rotatedRect.angle+90;        }        angle=angle-90;        //缩放比例        double rad=1;        double maxrectbian=rotatedRect.size.height>rotatedRect.size.width?rotatedRect.size.height:rotatedRect.size.width;        double minrectbian=rotatedRect.size.height<rotatedRect.size.width?rotatedRect.size.height:rotatedRect.size.width;        double radw=cpsrcMat.width()/maxrectbian;        double radh=cpsrcMat.height()/minrectbian;        rad=radw<radh?radw:radh;        rad*=0.95;        //执行旋转        rotated=rotateImage1(cpsrcMat,angle);        //Mat M = Imgproc.getRotationMatrix2D(rotatedRect.center, angle, rad);        //Imgproc.warpAffine(cpsrcMat, rotated, M, new Size(cpsrcMat.width(),cpsrcMat.height()), Imgproc.INTER_CUBIC,0,new Scalar(255,255,255));        //裁剪        int pading=5;        double angleHUD = angle  * Math.PI/ 180.; // 弧度        double sin = Math.abs(Math.sin(angleHUD)), cos = Math.abs(Math.cos(angleHUD)),tan=Math.abs(Math.tan(angleHUD));        double oldx=rotatedRect.center.x,oldy=rotatedRect.center.y;        double newpX=0;double newpY=0;        if(angle<0) {            newpX = cpsrcMat.height() * sin + oldx * cos - oldy * sin;//新坐标系下rect中心坐标            newpY = oldy / cos + (oldx - oldy * tan) * sin;//新坐标系下rect中心坐标        }else if(angle>=0){            newpX=oldx*cos+oldy*sin;            newpY=oldy/cos+(cpsrcMat.width()-(oldx+oldy*tan))*sin;        }        //Imgproc.circle(rotated,new Point(newpX,newpY),5,new Scalar(255,0,0),2);        int startrow=(int)(newpY-minrectbian/2)-pading;        if(startrow<0)startrow=0;        int endrow=(int)(newpY+minrectbian/2)+pading;        if(endrow>=rotated.height())endrow=rotated.height();        int startcls=(int)(newpX-maxrectbian/2)-pading;        if(startcls<0)startcls=0;        int endcls= (int)(newpX+maxrectbian/2)+pading;        if(endcls>=rotated.width())endcls=rotated.width();        rotated=rotated.submat(startrow,endrow,startcls,endcls);        //Imgproc.circle(rotated,new Point(startcls,startrow),5,new Scalar(0,255,0),2);        //Imgproc.circle(rotated,new Point(endcls,startrow),5,new Scalar(0,255,0),2);        //Imgproc.circle(rotated,new Point(startcls,endrow),5,new Scalar(0,255,0),2);        //Imgproc.circle(rotated,new Point(endcls,endrow),5,new Scalar(0,255,0),2);        return  rotated;    }    //旋转图像内容不变，尺寸相应变大    public Mat rotateImage1(Mat img, double degree){        double angle = degree  * Math.PI/ 180.; // 弧度        double a = Math.sin(angle), b = Math.cos(angle);        int width = img.width();        int height = img.height();        int width_rotate = (int)(height * Math.abs(a) + width * Math.abs(b));        int height_rotate = (int)(width *  Math.abs(a) + height *  Math.abs(b));        //旋转数组map        // [ m0  m1  m2 ] ===>  [ A11  A12   b1 ]        // [ m3  m4  m5 ] ===>  [ A21  A22   b2 ]        Mat map_matrix = new Mat(2, 3, CvType.CV_32F);        // 旋转中心        Point center = new Point(width / 2, height / 2);        map_matrix = Imgproc.getRotationMatrix2D(center, degree, 1.0);        map_matrix.put(0,2,map_matrix.get(0,2)[0]+ (width_rotate - width) / 2);        map_matrix.put(1,2,map_matrix.get(1,2)[0]+ (height_rotate - height) / 2);        Mat rotated=new Mat();        Imgproc.warpAffine(img, rotated,map_matrix, new Size(width_rotate,height_rotate), Imgproc.INTER_LINEAR|Imgproc.WARP_FILL_OUTLIERS,0,new Scalar(255,255,255));        return rotated;    }