| Resumen |
Image segmentation is recognized to be one of the most important steps in most high-level image analysis systems. Its precise functioning highly determines the performance of the entire system. For years the most robust segmentation algorithms have been the iterative methods, which have covered a variety of techniques. In this paper, we have researched the performance of a segmentation algorithm that uses an iterative computation of the mean shift filtering by using different window sizes. All the experimentation was done with standard images. A comparison of the obtained results was carried out with the different window sizes, as for the degree of homogenization of the segmented images as the number of iterations. |
