A Novel Model of Image Segmentation Based on Watershed Algorithm

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....

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Main Authors: Ali Abdullah Yahya, Jieqing Tan, Min Hu
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2013/120798
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author Ali Abdullah Yahya
Jieqing Tan
Min Hu
author_facet Ali Abdullah Yahya
Jieqing Tan
Min Hu
author_sort Ali Abdullah Yahya
collection DOAJ
description 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.
format Article
id doaj-art-608ba5090ef24048987a97adb232e073
institution Kabale University
issn 1687-5680
1687-5699
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Advances in Multimedia
spelling doaj-art-608ba5090ef24048987a97adb232e0732025-08-20T03:34:48ZengWileyAdvances in Multimedia1687-56801687-56992013-01-01201310.1155/2013/120798120798A Novel Model of Image Segmentation Based on Watershed AlgorithmAli Abdullah Yahya0Jieqing Tan1Min Hu2School of Computer and Information, Hefei University of Technology, Hefei 230009, ChinaSchool of Computer and Information, Hefei University of Technology, Hefei 230009, ChinaSchool of Computer and Information, Hefei University of Technology, Hefei 230009, ChinaA 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.http://dx.doi.org/10.1155/2013/120798
spellingShingle Ali Abdullah Yahya
Jieqing Tan
Min Hu
A Novel Model of Image Segmentation Based on Watershed Algorithm
Advances in Multimedia
title A Novel Model of Image Segmentation Based on Watershed Algorithm
title_full A Novel Model of Image Segmentation Based on Watershed Algorithm
title_fullStr A Novel Model of Image Segmentation Based on Watershed Algorithm
title_full_unstemmed A Novel Model of Image Segmentation Based on Watershed Algorithm
title_short A Novel Model of Image Segmentation Based on Watershed Algorithm
title_sort novel model of image segmentation based on watershed algorithm
url http://dx.doi.org/10.1155/2013/120798
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