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