An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation

Authors:
M. A. Savelonas;D. K. Iakovidis;D. E. Maroulis
Affiliations:
University of Athens, Greece;University of Athens, Greece;University of Athens, Greece
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Year:
2006

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Abstract

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.