I'm new to android studio developer, I'm looking to convert an image from RGB color space to YIQ. My app consist of taking an image as input and then transferring the image to YIQ, so I used Core.split to take the Red, Green and Blue channels from the image and then applying the equations but I couldn't apply the multiplication of the matrix with float so I used the scalar type and still stuck.
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_4_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
Log.i(TAG, "onManagerConnected: "+ alpha_Y.toString());
Scalar alpha1_Y = new Scalar(0.587); // the factor
Scalar alpha2_Y = new Scalar(0.114); // the factor
Core.multiply(Red,alpha_Y, B, CV_32F);
Log.i(TAG, "onManagerConnected: " + B);
Core.multiply(Green,alpha1_Y,D, CV_32F);
Core.multiply(Blue,alpha2_Y,W, CV_32F);
Core.add(B,D,Y);
Log.i(TAG, "onManagerConnected: "+ Y.toString());
Core.add(Y,W,Y);
/*working on I channel*/
/*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
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.set(0, Y);
YIQ.set(1, I);
YIQ.set(2, Q);
Log.i(TAG, "onManagerConnected: "+YIQ.toString());
Core.merge(YIQ,X);
Log.i(TAG, "onManagerConnected: "+X.toString());
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);
}
}
