Image Segmentation Through an Iterative Algorithm of the Mean Shift

Inside any image analysis system, an aspect of vital importance for pattern recognition and image interpretation that has to be taken into account is segmentation and contour extrac‐ tion. Both problems can be really difficult to face due to the variability in the form of the objects and the variation in the image quality. An example can be found in the case of biomedical images which are frequently affected by noise and sampling, that can cause consid‐ erable difficulties when rigid segmentation methods are applied [Chin-Hsing et al., 1998; Kenong & Levine, 1995; Koss et al., 1999; Rodríguez et al., 2002].