I am new in OpenCV so please to be patient. I am doing an Android application to measure the similarity of leaf color. I've tried using canny to detect only the leaf area but but I think it requires a longer process. Here is the code, only to the detection of leaf area.
public class editImage extends Activity {
//private static final int CV_64FC1 = 0;
protected ImageView im;
protected String msg_path;
private Mat mMatriximg;
private Mat mMatriximgBW;
private int CV_64FC1;
//private Mat mMatriximgBW;
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.image_layout);
im = (ImageView) findViewById(R.id.imV_ed);
Intent iIdentify = getIntent();
msg_path = iIdentify.getStringExtra("path");
//to grayscale
int im_gray = Highgui.CV_LOAD_IMAGE_GRAYSCALE;
mMatriximg = Highgui.imread(msg_path, im_gray);
// call library OpenCV
//Imgproc.equalizeHist(mMatriximg, mMatriximg);
Imgproc.Canny(mMatriximg, mMatriximg, 50, 150);
mMatriximgBW = Mat.zeros(mMatriximg.height(), mMatriximg.width(), CV_64FC1);
double y;
double threshold=190;
for(int i=0; i<mMatriximg.height(); i++){
for(int j=0; j<mMatriximg.width(); j++){
if(mMatriximg.get(i, j) [0]>=threshold){
y=255;
}else{
y=0;
}
mMatriximgBW.put(i, j, new double[] {y});
}
}
//result mat to Grayscale
Imgproc.cvtColor(mMatriximgBW, mMatriximgBW, Imgproc.COLOR_GRAY2RGBA, 4);
Bitmap bmpOut = Bitmap.createBitmap(mMatriximgBW.cols(), mMatriximgBW.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(mMatriximgBW, bmpOut);
im.setImageBitmap(bmpOut);
}
public void bckHome(View v){
Intent iIden = new Intent(this, MBWDActivity.class);
setResult(RESULT_OK, iIden);
startActivityForResult(iIden, 99);
}
}
So I thought it would be more efficient if i cut out the center of the leaf as the sample data (matrix).
is there who can share on how to implement cvSetImageROI or other methods?
Thank you for any help