in both industrial vision, medical imaging. The approach provides a partition of the image by
gathering pixels with similar gray levels in the same class of pixels. The main problem of this
algorithm is that it does not take into account the topology of the image; it is based only on
the value of pixels. Thus, it is very sensitive to noise and inhomogeneities in the image
again, it remains dependent on the initialization of cluster centers. The initialization of cluster …
Image segmentation is a low-level processing operation; it is the basis for many applications
such as industrial vision and medical imaging. Segmentation provides a partition of the
image by gathering pixels with similar grey levels in the same class. The main problem of
this algorithm is that it does not take into account the image topology; it is based only on the
pixels values. Thus, it is very sensitive to noise and inhomogeneities in the image moreover,
it remains dependent on the initialization of the cluster centers. In general the clustering …