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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
M.A. Savelonas, University of Athens, Greece
D.K. Iakovidis, University of Athens, Greece
D.E. Maroulis, University of Athens, Greece
This paper presents a novel algorithm for unsupervised texture segmentation. The proposed algorithm incorporates the Local Binary Pattern operator under a segmentation framework based on the Active Contour Without Edges model. The experiments performed, show that it can be used for fast segmentation of two-textured images, outperforming recent texture segmentation algorithms, with a segmentation quality that reaches 99% on average.
Citation:
M.A. Savelonas, D.K. Iakovidis, D.E. Maroulis, "An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation," icpr, vol. 2, pp.279-282, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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