A Multilabel Texture Segmentation Based on Local Entropy Signature

Bo-Young Park, Hyo-Hun Kim and Byung-Woo Hong

Mathematical Problems in Engineering, 2013, vol. 2013, 1-6

Abstract:

We propose a multilabel segmentation that aims to partition a texture image into multiple regions based on a homogeneity condition using local entropy measured at varying scales. For multi-label segmentation, a bipartitioning segmentation scheme is recursively applied to confined regions obtained by previous segmentation steps. The empirical entropy is measured in the local neighbourhoods at varying scales, which is used as a characteristic feature in determining the spatial regularity of elementary texture structures. The experimental results on a variety of texture images demonstrate the efficiency and robustness of the proposed algorithm.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:651581

DOI: 10.1155/2013/651581

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