Hello everyone.
Recently i had to implement an algorithm to subtract an image from this same image blurred. I first tried to:
Mat img = imread("some_image");
GaussianBlur(img, blurred, Size(7, 7), 0, 0);
Mat result = img - blurred;
But my output (result) was displayed as an black image.
So I found this normalization steps to solve the problem:
> result_pixel = (pixel_image -> pixel_blurred_image) / 2 + 127 ; for> each pixel on image:
void sub(Mat & src, Mat & src2, Mat & result ) {
for (int i = 0; i < src.cols ; i++) {
for (int j = 0; j < src.rows; j++) {
int px1 = int(src.at(j, i));
int px2 = int(src2.at(j, i));
int px = ( (px1 - px2 ) / 2) + 127;
result.at(j, i) = px;
}
}
}
This kinda of normalization seems trivial to me. So I was wondering, doesn't Opencv already provides any option to apply this normalization automatically?
↧