int AddImpulseNoise(CRaster& raster, double p, int imax, int imin, CRaster& noised) {
srand(unsigned(time(NULL)));
CSize sz = raster.GetSize();
p = max(min(p, 1),0); //noise probability;
int np = int(p * sz.cx * sz.cy);
// clone;
noised = raster;
imax = max(min(255, imax), 0); //maximum impulse value;
imin = min(max(0, imin), 255); //minimum impulse value;
for (int count = 0, turn = 0; count < np; count++) {
//x in [0, sz.cx - 1];
int x = int((sz.cx - 1) * double(rand()) / RAND_MAX);
//y in [0, sz.cy - 1];
int y = int((sz.cy - 1) * double(rand()) / RAND_MAX);
if (turn == 0) {
turn = 1;
noised.SetPixel(x, y, imax);
} else {
turn = 0;
noised.SetPixel(x, y, imin);
}
}
return 1;
}728x90
'Image Recognition > Fundamental' 카테고리의 다른 글
| Bilateral Filter (0) | 2024.02.18 |
|---|---|
| 파라미터 공간에서 본 최소자승 Fitting (0) | 2023.05.21 |
| Canny Edge: Non-maximal suppression (0) | 2023.01.11 |
| Statistical Region Merging (0) | 2022.06.11 |
| Moment-preserving Thresholding (0) | 2022.05.29 |
