Segmentation process. It takes patches from an observation (a), then normalizes the patch and applies the segmentation model (b), the segmented patch is positioned at the same coordinates (c), and is finally weighted by coefficients (d) representing the number of patches in which each pixel appears. Because a sliding window with overlap is used, a given pixel is segmented several times (as long as it falls in the sliding window). Then, we obtain several segmentation values for the same pixel. The final segmentation value assigned to the pixel corresponds to the average of all the segmentation values computed from the contributing sliding windows.