期刊
COMPUTER VISION AND IMAGE UNDERSTANDING
卷 114, 期 7, 页码 813-826出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.cviu.2010.03.002
关键词
Unsupervised colour image segmentation; Multiscale edge detection; Dual-tree complex wavelet transform; Discrete wavelet transform; Multiscale analysis; Region growing; Colour difference
资金
- Warwick University
In this paper we present an effective unsupervised colour image segmentation algorithm which uses multiscale edge information and spatial colour content. The multiscale edge information is extracted using the dual-tree complex wavelet transform. Binary morphological operators are applied to the edge information to detect seed regions which are large enough to exclude boundary-only regions. The segmentation of homogeneous regions is obtained using region growing followed by region merging in the CIE L*a*b* colour space. We also present an edge preserving smoothing filter as a pre-process for the algorithm. We compare our algorithm with state-of-the-art algorithms and show its superior performance. (C) 2010 Elsevier Inc. All rights reserved.
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