A multiscale gradient algorithm for image segmentation using watershelds

@article{Wang1997AMG,
  title={A multiscale gradient algorithm for image segmentation using watershelds},
  author={Demin Wang},
  journal={Pattern Recognition},
  year={1997},
  volume={30},
  pages={2043-2052}
}
-Watershed transformation is a powerful tool for image segmentation. However, the effectiveness of the image segmentation methods based on watershed transformation is limited by the quality of the gradient image used in the methods. In this paper we present a multiscale algorithm for computing gradient images, with effective handling of both step and blurred edges. We also present an algorithm for eliminating irrelevant minima in the resulting gradient images. Experimental results indicate that… CONTINUE READING
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