A novel model of image segmentation based on watershed algorithm

Authors:
Ali Abdullah Yahya;Jieqing Tan;Min Hu
Affiliations:
School of Computer and Information, Hefei University of Technology, Hefei, China;School of Computer and Information, Hefei University of Technology, Hefei, China;School of Computer and Information, Hefei University of Technology, Hefei, China
Venue:
Advances in Multimedia
Year:
2013

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Abstract

A novel model of image segmentation based on watershed method is proposed in this paper. To prevent the oversegmentation of traditional watershed, our proposed algorithmhas 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/bottomhat transformation is used. Fourthly, themorphological gradient of an image ismodified by imposing regional minima at the location of both the internal and the externalmarkers. Finally, a weighted function is used to combine the top/bottomhat 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.