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15 November 2007 Image segmentation using improved watershed transform
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67861P (2007) https://doi.org/10.1117/12.748714
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Watershed transform is a morphological image segmentation method which is widely used in medical image processing, video processing and many other fields. The ultimate goal of the transform is to identify the objects of interest in the input image. However, the main problem of watershed transform is its sensitivity to intensity variations, resulting in over segmentation problem. The main goal of this work is to overcome the drawback of the traditional watershed algorithm. The proposed algorithm in this paper is to retain the most significant regions of the image when the image is under noisy conditions and the objects in the image have detailed textures.
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Geng Li and Xiaoqian Chen "Image segmentation using improved watershed transform", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861P (15 November 2007); https://doi.org/10.1117/12.748714
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