Image *get_threshold_image(Image *img, c_threshold *c)
{
Image *threshold_img;
int size_x, size_y;
int i = 0;
int j = 0;
char *string_img = malloc(img->rows * img->columns * sizeof(*string_img));
char *temp_string_img;
PixelPacket *px;
ExceptionInfo exception;
GetExceptionInfo(&exception);
px = GetImagePixels(img, 0, 0, img->columns, img->rows);
size_x = (int)img->columns;
size_y = (int)img->rows;
while (i < size_y) {
j=0;
while (j < size_x) {
string_img[(size_x * i) + j] = (char)px[(size_x * i) + j].green;
j++;
}
i++;
}
temp_string_img = otsu_th(size_x, size_y, string_img, c);
threshold_img = ConstituteImage(size_x, size_y, "I", CharPixel, temp_string_img, &exception);
free(temp_string_img);
free(string_img);
DestroyImage(img);
SyncImagePixels(threshold_img);
return (threshold_img);
}
/**
* Generate a binarized image in black & white
*
* @param im_in Imagen to which apply binarization
*
* @return im_b Return a new binarized image
*/
Mat binarizar (const Mat& im_in){
Size s = im_in.size();
int xmax = s.height;
int ymax = s.width;
Mat im_b(MAX_IMAGESIZE, MAX_IMAGESIZE, CV_8UC1, Scalar(0));
int threshold = otsu_th(im_in,xmax,ymax);
//int threshold = 15000;
cout << "Threshold: " << threshold << endl;
/* Binarization output into image */
for (int y = 0; y < ymax; y++){
for (int x = 0; x < xmax; x++){
if (im_in.at<uchar>(y,x) > threshold){
im_b.at<uchar>(y,x) = MAX_BRIGHTNESS_8;
}
}
}
return im_b;
}
