Journal
COMPUTER VISION AND IMAGE UNDERSTANDING
Volume 114, Issue 7, Pages 813-826Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.cviu.2010.03.002
Keywords
Unsupervised colour image segmentation; Multiscale edge detection; Dual-tree complex wavelet transform; Discrete wavelet transform; Multiscale analysis; Region growing; Colour difference
Funding
- Warwick University
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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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