Abstrait

Recognition of Spatially Significant Zone Using Morphological Dilation With Advanced Watershed Segmentation Algorithm

M.Kavitha, T.Sasi

In several domains of image analysis, mathematical morphology plays a very vital role. It was a concept that evolved in France in sixties. This premise has received little attention since then but anyhow, is now object of research in many laboratories. The Significant attention has been paid to obtain spatially significant zones within a cluster of zones. Advanced watershed algorithm helps to reduce over segmentation process it decreases the iteration of dilation distance technique. The spatial significance of zones within a cluster of zones has been identified by using morphological dilation distance technique . This paper focuses on the calamity of identifying zones that they are the most important based on their proximity to other zones.