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: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2013/120798 |
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| Summary: | 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. |
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| ISSN: | 1687-5680 1687-5699 |