An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation

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.

• Type: Conference
• Year: 2006
• Where: ICPR
• Authors: Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Michalis A. Savelonas
• Keywords: Computer Vision, ICPR 2006, Segmentation Framework, Texture Segmentation Algorithms, Unsupervised Texture Segmentation