Journals Proceedings

International Journal of Artificial Intelligence and Neural Networks

Mathematical Morphology based gray scale Image Segmentation using improved watershed transform

Author(s) : ABDUL WAHID ANSARI, MANISHA GUPTA, MANNIKA GARG

Abstract

Mathematical Morphology provides systematic approach to analyze geometric Characteristic of signal or images, has been applied to many application such as Edge Detection, Object segmentation, noise suppression. Image segmentation is one of the most important categories of image processing. The watersheds transformation for image segmentation using mathematical morphology is widely used. When we use watershed transform is image, there is a serious cause of over segmentation. In this paper the proposed system has been applied to overcome the over segmentation problem by using improved segmentation and efficient technique for image segmentation using mathematical morphology.

No fo Author(s) : 3
Page(s) : 1 - 6
Electronic ISSN : 2250-3749
Volume 3 : Issue 3
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