Homogeneity cues for texel size estimation of periodic and near-periodic textures

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Abstract

Texel size determination on periodic and near-periodic textures, is a problem that has been addressed for years, and currently it remains as an important issue in structural texture analysis. This paper proposes an approach to determine the texel size based on the computation and analysis of the texture homogeneity properties. We analyze the homogeneity feature computed from difference histograms, while varying the displacement vector for a preferred orientation. As we vary this vector, we expect a maximum value in the homogeneity data if its magnitude matches the texel size in a given orientation. We show that this approach can be used for both periodic and near-periodic textures, it is robust to noise and blur perturbations, and its advantages over other approaches in computation time and memory storage. © 2011 Springer-Verlag Berlin Heidelberg.

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APA

Lizarraga-Morales, R. A., Sanchez-Yanez, R. E., & Ayala-Ramirez, V. (2011). Homogeneity cues for texel size estimation of periodic and near-periodic textures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6718 LNCS, pp. 220–229). https://doi.org/10.1007/978-3-642-21587-2_24

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