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Proceedings Paper

Image segmentation using improved watershed transform
Author(s): Geng Li; Xiaoqian Chen
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861P (15 November 2007); doi: 10.1117/12.748714
Show Author Affiliations
Geng Li, Huazhong Univ. of Science and Technology (China)
Xiaoqian Chen, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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