OpenCV的+安卓+号牌识别(OpenCV + Android + 图像水平矫正)

/**  * 价签矫正  */ public void getContouresPic (Bitmap source) { Mat imageSobleOutThreshold = new Mat();   Mat gray = new Mat();  Utils.bitmapToMat(source, imageSobleOutThreshold);  Imgproc.cvtColor(imageSobleOutThreshold, imageSobleOutThreshold, Imgproc.COLOR_BGR2GRAY);   Imgproc.threshold(imageSobleOutThreshold, gray, 125, 225, Imgproc.THRESH_BINARY);//maxVal就是控制黑白反转的,0是黑   //Utils.matToBitmap(gray, source);   ArrayList<RotatedRect> rects = new ArrayList<RotatedRect>();  ArrayList<MatOfPoint> contours = new ArrayList<MatOfPoint>();  Imgproc.findContours(gray, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE);    for(int i=0;i<contours.size();i++){ Rect rect = Imgproc.boundingRect(contours.get(i));  if (rect.width > 500 && rect.width/rect.height == 1) { MatOfPoint2f mp2f = new MatOfPoint2f(contours.get(i).toArray());  RotatedRect mr = Imgproc.minAreaRect(mp2f);   double area = Math.abs(Imgproc.contourArea(mp2f));   double angle = mr.angle+90;   Mat ratationedImg = new Mat(gray.rows(), gray.cols(), CvType.CV_8UC3);  ratationedImg.setTo(new Scalar(0, 0, 0));     Point center = mr.center;//中心点  Mat m2 = Imgproc.getRotationMatrix2D(center, angle, 1);  Imgproc.warpAffine(imageSobleOutThreshold, ratationedImg, m2, imageSobleOutThreshold.size(), 1, 0, new Scalar(0) );//仿射变换    Utils.matToBitmap(ratationedImg, source);    File file = new File(Environment.getExternalStorageDirectory()+"/AiLingGong/", "ll"+System.currentTimeMillis()+".jpg");  try { FileOutputStream out = new FileOutputStream(file);  source.compress(Bitmap.CompressFormat.JPEG, 100, out);  out.flush();  out.close();  } catch (FileNotFoundException e) { e.printStackTrace();  } catch (IOException e) { e.printStackTrace();  } Log.d("----------------", "旋转角度是:"+angle+"------"+"-----"+mr);   } } }