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Advances in Multimedia
Volume 2013, Article ID 120798, 8 pages
Research Article

A Novel Model of Image Segmentation Based on Watershed Algorithm

School of Computer and Information, Hefei University of Technology, Hefei 230009, China

Received 6 May 2013; Revised 28 July 2013; Accepted 5 August 2013

Academic Editor: Qingshan Liu

Copyright © 2013 Ali Abdullah Yahya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A novel model of image segmentation based on watershed method is proposed in this paper. To prevent the oversegmentation of traditional watershed, our proposed algorithm has five stages. Firstly, the morphological reconstruction is applied to smooth the flat area and preserve the edge of the image. Secondly, multiscale morphological gradient is used to avoid the thickening and merging of the edges. Thirdly, for contrast enhancement, the top/bottom hat transformation is used. Fourthly, the morphological gradient of an image is modified by imposing regional minima at the location of both the internal and the external markers. Finally, a weighted function is used to combine the top/bottom hat transformation algorithm and the markers algorithm to get the new algorithm. The experimental results show the superiority of the new algorithm in terms of suppression over-segmentation.