Question

我有一张图片底部包含2个图标我已经将图片裁剪为仅获得图片并将其与图标图片进行比较opencv temple图像检测器当图标在那里时它完美地工作但问题是，当我删除图标时，仍然会出现矩形并且它出现在错误的地方所有我想要的如果有匹配显示矩形如果没有不显示它 这是我的代码

public class Test123 extends AppCompatActivity {


ImageView a,b,c;
String resultImgPath,baseDir,lol;
Button x;
private static final String TAG = "Test123";
String aa,bb;

static {
    if(!OpenCVLoader.initDebug()){
        Log.e(TAG, "OpenCV not loaded");
    } else {
        Log.e(TAG, "OpenCV loaded");
    }
}
@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    setContentView(R.layout.activity_test123);
    System.loadLibrary("opencv_java3");

    a = (ImageView)findViewById(R.id.imageView);
    b = (ImageView)findViewById(R.id.imageView2);
    c = (ImageView)findViewById(R.id.imageView3);
    x = (Button) findViewById(R.id.button);


    baseDir = Environment.getExternalStorageDirectory().getAbsolutePath();
    resultImgPath = baseDir+"/Test/result.jpg";


     aa = baseDir+"/Test/d.jpg";
     bb = baseDir+"/Test/dd1.jpg";
    lol = baseDir+"/Test/c.jpg";


    x.setOnClickListener(new View.OnClickListener() {
        @Override
        public void onClick(View v) {


            Bitmap bmImg = BitmapFactory.decodeFile(aa);
            int fromHere = (int) (bmImg.getHeight() * 0.06);

            final  Bitmap croppedBitmap = Bitmap.createBitmap(bmImg, (int) (bmImg.getWidth() * 0.3), (int) (bmImg.getHeight() * 0.94), (int) (bmImg.getWidth() * 0.6), fromHere);
            String root = Environment.getExternalStorageDirectory().toString();
            File myDir = new File(root + "/Test");
            myDir.mkdirs();
            String fname = "c.jpg";

            File file = new File(myDir, fname);

            if (file.exists())
                file.delete();
            try {
                FileOutputStream out = new FileOutputStream(file);

                croppedBitmap.compress(Bitmap.CompressFormat.JPEG, 90, out);

                out.flush();
                out.close();
            } catch (Exception e) {
                e.printStackTrace();
            }
            a.setImageBitmap(croppedBitmap);
            Bitmap bmImg2 = BitmapFactory.decodeFile(bb);
            b.setImageBitmap(bmImg2);
            matchingDemo(lol, bb, resultImgPath, Imgproc.TM_SQDIFF);

        }
    });


}
public void matchingDemo(String imgPath,String templatePath,String resPath, int matchType){
  // to read the entered image from its path and make a mat object
    Mat img = Imgcodecs.imread(imgPath);
    Mat templ = Imgcodecs.imread(templatePath);
    // Create the result matrix
    int result_cols = img.cols() - templ.cols() + 1;
    int result_rows = img.rows() - templ.rows() + 1;
    Mat result = new Mat(result_rows, result_cols,  CvType.CV_8UC3);
    // performing matching and do normalization
    Imgproc.matchTemplate(img, templ, result, matchType);
    int type = Imgproc.THRESH_TOZERO;
    Imgproc.threshold(result, result, 0.8, 1., type);
    Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
    // / finding the best match from minMaxLoc
    Core.MinMaxLocResult mmr = Core.minMaxLoc(result);
    double bb = mmr.maxVal;
    Log.e("hey",bb+"");
    Point matchLoc;
    if (matchType == Imgproc.TM_SQDIFF || matchType == Imgproc.TM_SQDIFF_NORMED) {
        matchLoc = mmr.minLoc;
    } else {
        matchLoc = mmr.maxLoc;
    }
    // draw a rectangle on searched object
    Imgproc.rectangle(img, matchLoc, new Point(matchLoc.x + templ.cols(),
            matchLoc.y + templ.rows()), new Scalar(0, 255, 0));
    // store the result image here
    Imgcodecs.imwrite(resPath, img);
    Mat image = new Mat();
    image =Imgcodecs.imread(resPath);
    Bitmap bm = Bitmap.createBitmap(image.cols(),image.rows(), Bitmap.Config.ARGB_8888);
    Utils.matToBitmap(image, bm);

    c.setImageBitmap(bm);
    image.release();
}
   }

修改

我知道我需要一些东西

               if(......................)
              Imgproc.rectangle(img, matchLoc, new Point(matchLoc.x + templ.cols(),
                matchLoc.y + templ.rows()), new Scalar(0, 255, 0));
                   }

我试着将minVal放在if块中但是每张图片都给了我不同的数字我试过标准化而没有它我可以把正确的数字放在1张图片上但是其他图片给了我不同的数字所以它根本没有检测到图标是可见的，如果不是它在错误的地方绘制相同的问题，我只需要1个数字或者什么东西来绘制如果没有绘制那么如果没有匹配我不想要有价值如果没有比赛

寺庙图像检测无法正常工作

0 个答案: