用openCV加减

Question

我在android-studio上使用opencv 3.0.0，我需要将RGB图像转换为YIQ，因此我必须做一些加法和减法方程。我使用openCV的Core.Split从RGB图像中提取红色，绿色和蓝色通道。然后，我使用此通道使用以下方程式计算YIQ图像：equation。经过我的appp测试后，我收到此错误：A/libc: Fatal signal 11 (SIGSEGV), code 1 (SEGV_MAPERR), fault addr 0x19b in tid 27631 (orstackoverflow), pid 27631 (orstackoverflow) 这是我的代码

public class MainActivity extends AppCompatActivity {

private static final String TAG = "3:qinQctivity";
Button button;
ImageView imageView;

ArrayList<Mat> RGB = new ArrayList<Mat>(3);
ArrayList<Mat> YIQ = new ArrayList<Mat>(3);

Mat newImage;

Mat Blue,Green,Red,I,Y,Q,B,X,D,W;


@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    setContentView(R.layout.activity_main);
    button = findViewById(R.id.button);
    imageView = findViewById(R.id.image);


    button.setOnClickListener(new View.OnClickListener() {
        @Override
        public void onClick(View view) {

            if (!OpenCVLoader.initDebug()) {
                OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_0_0, getApplicationContext(), baseLoaderCallback);
            } else {
                baseLoaderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS);

            }

        }
    });

}

BaseLoaderCallback baseLoaderCallback = new BaseLoaderCallback(this) {
    @Override
    public void onManagerConnected(int status) {
        super.onManagerConnected(status);
        if (status == LoaderCallbackInterface.SUCCESS) {
            try {
                Y = new Mat();
                Q = new Mat();
                I = new Mat();
                X = new Mat();
                newImage = Utils.loadResource(getApplicationContext(), R.drawable.retinalimage, CvType.CV_32FC3);

                Core.split(newImage, RGB);
                Blue = RGB.get(0);
                Red = RGB.get(1);
                Green = RGB.get(2);

                B = new Mat(); // result
                D = new Mat(); // result
                W = new Mat(); // result

                /*working on Y channel*/
                Scalar alpha_Y = new Scalar(0.299); // the factor
                Scalar alpha1_Y = new Scalar(0.587); // the factor
                Scalar alpha2_Y = new Scalar(0.114); // the factor



                Core.multiply(Red,alpha_Y, B);
                Core.multiply(Green,alpha1_Y,D);
                Core.multiply(Blue,alpha2_Y,W);
                Core.add(B,D,Y);
                Log.i(TAG, "onManagerConnected: "+ Y.toString());
                Core.add(Y,W,Y);

                /*I = 0.211 * Red - 0.523 * Green + 0.312 * Blue;*/
                Mat Z = new Mat(); // result
                Mat P = new Mat(); // result
                Mat O = new Mat(); // result

                /*working on I channel*/
                Scalar alpha_I = new Scalar(0.211); // the factor
                Scalar alpha1_I = new Scalar(0.523); // the factor
                Scalar alpha2_I = new Scalar(0.312); // the factor

                Core.multiply(Red,alpha_I,Z);
                Core.multiply(Green,alpha1_I,P);
                Core.multiply(Blue,alpha2_I,O);
                Core.add(Z,P,I);
                Core.add(I,O,I);


                /*working on Q channel*/
                /*Q = 0.596 * Red - 0.274 * Green - 0.322 * Blue;*/

                Mat V = new Mat();
                Mat W = new Mat();
                Mat N = new Mat();

                Scalar alpha_Q = new Scalar(0.596); // the factor
                Scalar alpha1_Q = new Scalar(0.274); // the factor
                Scalar alpha2_Q = new Scalar(0.322); // the factor


                Core.multiply(Red,alpha_Q,V);
                Core.multiply(Green,alpha1_Q,W);
                Core.multiply(Blue,alpha2_Q,N);
                Core.subtract(V,W,Q);
                Core.subtract(Q,N,Y);

                YIQ.add(Y);
                YIQ.add(I);
                YIQ.add(Q);

                Core.merge(YIQ,X);
                showImage(X);

            } catch(IOException e){
                e.printStackTrace();
            }

        }


    }


} ;

void showImage (Mat y){
    Bitmap bm = Bitmap.createBitmap(y.width(), y.height(), Bitmap.Config.ARGB_8888);
    Utils.matToBitmap(y, bm);
    imageView.setImageBitmap(bm);
}

Answer 1

您没有为内存B,D,W,Z,P,O,...分配内存。您需要获取原始RGB矩阵的大小，并将该大小传递给新的矩阵构造函数。根据{{​​3}}中的multiply函数：

  

参数：

     

src1-第一个源数组。

     

src2-与src1大小和类型相同的第二个源数组。

     

dst-大小和类型与src1相同的目标数组。

（突出显示我的）