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Authors: Gary Dahme ; Eraldo Ribeiro and Mark Bush

Affiliation: Florida Institute of Technology, United States

Keyword(s): Texture classification, co-occurrence statistics, pollen recognition, texton.

Abstract: Texture classification is one of the most studied and challenging problems in computer vision. A key requirement of successful texture classification algorithms is their ability to quantify the complex nature and diversity of real world textures. Recent developments in automatic texture classification have demonstrated the effectiveness of representing texture elements as cluster centers of convolution responses of a filter bank. These representation of texture elements are called textons. Such methods rely primarily on similarity measurements of frequency histograms of vector quantized versions of the target texture. A main problem with these approaches is that pure frequency histograms fail to account for important spatial interaction between textons. Spatial interaction is key to classification when analyzing textures with similar texture element frequency but differ in the way the texture elements are distributed across the image. In this paper, we propose the use of co-occurrenc e statistics to account for the spatial interaction among texture elements. This is accomplished by calculating spatial co-occurrence statistics on the maps of textons generated by the vector quantization procedure. We demonstrate the effectiveness of our method on images from the Brodatz album as well as natural textures from a tropical pollen database. We also present a comparison with a state-of-the-art method for texture classification. Finally, our experiments show that the use of spatial statistics help improve the classification rates for certain textures that present sparse and statistically non-stationary texture elements such as pollen grain textures. (More)

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Paper citation in several formats:
Dahme, G.; Ribeiro, E. and Bush, M. (2006). SPATIAL STATISTICS OF TEXTONS. In Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 2: VISAPP; ISBN 972-8865-40-6; ISSN 2184-4321, SciTePress, pages 13-19. DOI: 10.5220/0001368900130019

@conference{visapp06,
author={Gary Dahme. and Eraldo Ribeiro. and Mark Bush.},
title={SPATIAL STATISTICS OF TEXTONS},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 2: VISAPP},
year={2006},
pages={13-19},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001368900130019},
isbn={972-8865-40-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 2: VISAPP
TI - SPATIAL STATISTICS OF TEXTONS
SN - 972-8865-40-6
IS - 2184-4321
AU - Dahme, G.
AU - Ribeiro, E.
AU - Bush, M.
PY - 2006
SP - 13
EP - 19
DO - 10.5220/0001368900130019
PB - SciTePress

- Science and Technology Publications, Lda.
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