Periodicity and Texel Size Estimation of Visual Texture Using Entropy Cues

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Bibliographic Details
Main Author: Rocío Lizarraga Morales
Format: Artículo científico
Language:en
Published: Instituto Politécnico Nacional 2011
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author Rocío Lizarraga Morales
author_facet Rocío Lizarraga Morales
contents Periodicity and Texel Size Estimation of Visual Texture Using Entropy Cues Rocío Lizarraga Morales Raúl E. Sánchez Yáñez Víctor Ayala Ramírez Computación Texture Entropy Size and Shape Image Processing Texture Periodicity Texture periodicity and texture element (texel) size are important characteristics for texture recognition and discrimination. In this paper, an approach to determine both, texture periodicity and texel size, is proposed. Our method is based on the entropy, a texture measure computed from the Sum and Difference Histograms. The entropy value is sensitive to the parameters in such histograms and takes its lowest value when the parameters match with texel size or its integer multiples, in any specific direction. We show the performance of our method by texture synthesis, tiling a sample of the detected size and measuring the similarity between the original image and the synthesized one, showing good results with regular textures and texels with different shapes, being useful for practical applications as well because of its simple implementation. 2011 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61520765009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.14
format Artículo científico
id redalyc_61520765009
institution Redalyc
language en
publishDate 2011
publisher Instituto Politécnico Nacional
spellingShingle Periodicity and Texel Size Estimation of Visual Texture Using Entropy Cues
Rocío Lizarraga Morales
Computación
Texture
Entropy
Size and Shape
Image Processing
Texture Periodicity
Periodicity and Texel Size Estimation of Visual Texture Using Entropy Cues Rocío Lizarraga Morales Raúl E. Sánchez Yáñez Víctor Ayala Ramírez Computación Texture Entropy Size and Shape Image Processing Texture Periodicity Texture periodicity and texture element (texel) size are important characteristics for texture recognition and discrimination. In this paper, an approach to determine both, texture periodicity and texel size, is proposed. Our method is based on the entropy, a texture measure computed from the Sum and Difference Histograms. The entropy value is sensitive to the parameters in such histograms and takes its lowest value when the parameters match with texel size or its integer multiples, in any specific direction. We show the performance of our method by texture synthesis, tiling a sample of the detected size and measuring the similarity between the original image and the synthesized one, showing good results with regular textures and texels with different shapes, being useful for practical applications as well because of its simple implementation. 2011 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61520765009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.14
title Periodicity and Texel Size Estimation of Visual Texture Using Entropy Cues
topic Computación
Texture
Entropy
Size and Shape
Image Processing
Texture Periodicity
url https://www.redalyc.org/articulo.oa?id=61520765009