Android基于opencv进行图像识别并找出中心点和轮廓

代码：

Bitmap bitmapNew = bitmap.copy(Bitmap.Config.ARGB_8888, true);//opencvプリプロセッサif (!OpenCVLoader.initDebug()) {    Log.d("--------opencv--------", "OpenCVLoader error");}//Mat変換Mat src = new Mat(bitmapNew.getHeight(), bitmapNew.getWidth(), CvType.CV_8UC4);Utils.bitmapToMat(bitmapNew, src);//グレー化Imgproc.cvtColor(src, src, Imgproc.COLOR_RGB2GRAY);//Gaussian FiltersImgproc.GaussianBlur(src, src, new Size(1, 1), 0, 0);//二値化Imgproc.threshold(src, src, 0.0, 255.0,        Imgproc.THRESH_BINARY | Imgproc.THRESH_OTSU);//ビット反転Mat hierarchy = Mat.zeros(new Size(1, 1), CvType.CV_8UC1);Core.bitwise_not(src, src);// 輪郭抽出List contours = new ArrayList();Imgproc.findContours(src, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_TC89_L1);Mat dst = Mat.zeros(new Size(src.width(), src.height()), CvType.CV_8UC3);// 輪郭を描画 (Yellow)Scalar color = new Scalar(255, 255, 0);Imgproc.drawContours(dst, contours, -1, color, 1);List list = new ArrayList();Rect box = null;for (int i = 0; i < contours.size(); i++) {    // 小さい輪郭を除去 (ノイズ除去)    if (Imgproc.contourArea(contours.get(i)) < dst.size().area() / (1000)) {        continue;    }    MatOfPoint ptmat = contours.get(i);    // 輪郭の重心を描画 (Red)    color = new Scalar(255, 0, 0);    MatOfPoint2f ptmat2 = new MatOfPoint2f(ptmat.toArray());    RotatedRect bbox = Imgproc.minAreaRect(ptmat2);    box = bbox.boundingRect();    Imgproc.circle(dst, bbox.center, 5, color, -1);    list.add(bbox.center);    // 輪郭を囲む四角形を描画 (Green)    color = new Scalar(0, 255, 0);    Imgproc.rectangle(dst, box.tl(), box.br(), color, 2);}Utils.matToBitmap(dst, bitmapNew);

如果想使用上述代码，还需要在build.gradle中的dependencies中添加

implementation 'com.quickbirdstudios:opencv:3.4.1'

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