OpenCV的+安卓+号牌识别(OpenCV + Android +水平矫正)
ImageView imgView = (ImageView) findViewById(R.id.imageView1); Bitmap bmp = BitmapFactory.decodeResource(getResources(),car); //First convert Bitmap to Mat Mat ImageMatin = new Mat ( bmp.getHeight(), bmp.getWidth(), CvType.CV_8U, new Scalar(4)); Mat ImageMatout = new Mat ( bmp.getHeight(), bmp.getWidth(), CvType.CV_8U, new Scalar(4)); Mat ImageMatBk = new Mat ( bmp.getHeight(), bmp.getWidth(), CvType.CV_8U, new Scalar(4)); Mat ImageMatTopHat = new Mat ( bmp.getHeight(), bmp.getWidth(), CvType.CV_8U, new Scalar(4)); Mat temp = new Mat ( bmp.getHeight(), bmp.getWidth(), CvType.CV_8U, new Scalar(4)); Bitmap myBitmap32 = bmp.copy(Bitmap.Config.ARGB_8888, true); Utils.bitmapToMat(myBitmap32, ImageMatin); //Converting RGB to Gray. Imgproc.cvtColor(ImageMatin, ImageMatBk, Imgproc.COLOR_RGB2GRAY,8); Imgproc.dilate(ImageMatBk, temp, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(9, 9))); Imgproc.erode(temp, ImageMatTopHat, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(9,9))); //Core.absdiff(current, previous, difference); Core.absdiff(ImageMatTopHat, ImageMatBk, ImageMatout); //Sobel operator in horizontal direction. Imgproc.Sobel(ImageMatout,ImageMatout,CvType.CV_8U,1,0,3,1,0.4,Imgproc.BORDER_DEFAULT); //Converting GaussianBlur Imgproc.GaussianBlur(ImageMatout, ImageMatout, new Size(5,5),2); Imgproc.dilate(ImageMatout, ImageMatout, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(3,3))); Mat element = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(17, 3)); Imgproc.morphologyEx(ImageMatout, ImageMatout, Imgproc.MORPH_CLOSE, element); //threshold image Imgproc.threshold(ImageMatout, ImageMatout, 0, 255, Imgproc.THRESH_OTSU+Imgproc.THRESH_BINARY); Now I need to extract number Plate Please help me to convert following C++ code to java+opencv:. std::vector rects; std::vector<std::vector >::iterator itc = contours.begin(); while (itc != contours.end()) { cv::RotatedRect mr = cv::minAreaRect(cv::Mat(*itc)); float area = fabs(cv::contourArea(*itc)); float bbArea=mr.size.width * mr.size.height; float ratio = area/bbArea; if( (ratio < 0.45) || (bbArea < 400) ){ itc= contours.erase(itc); }else{ ++itc; rects.push_back(mr); } } import java.util.*; import org.opencv.imgproc.Imgproc; import org.opencv.core.*; /* ... */ ArrayList<RotatedRect> rects = new ArrayList<RotatedRect>() ArrayList<MatOfPoint> contours = new ArrayList<MatOfPoint>(); Imgproc.findContours(image, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE); ListIterator<MatOfPoint> itc = contours.listIterator(); while(itc.hasNext()) { MatOfPoint2f mp2f = new MatOfPoint2f(itc.next().toArray()); RotatedRect mr = Imgproc.minAreaRect(mp2f); double area = Math.abs(Imgproc.contourArea(mp2f)); double bbArea= mr.size.area(); double ratio = area / bbArea; if( (ratio < 0.45) || (bbArea < 400) ) { itc.remove(); // other than deliberately making the program slow, // does erasing the contour have any purpose? } else { rects.add(mr); } }
