Publication Details

Texture Analysis via Data Mining

HECKEL, M. Texture Analysis via Data Mining. Proceedings of the 2nd Australasian Data Mining Workshop. Sydney: University of Technology Sydney, 2003. p. 95-104. ISBN: 0-9751724-1-7.
Czech title
Texturní analýza a dolování dat
Type
conference paper
Language
English
Authors
Heckel Martin, Ing.
Keywords

Association rules, Apriori algorithm, texture analysis, texture primitive, feature vector, Fisher criterion, inter-cluster separability.

Abstract

This paper deals with an idea of the use of data mining approach in texture analysis. A new method based on association rules is proposed. This approach extracts texture primitives from an image texture and describes mutual relationships between these primitives. Within this method, a technique for feature vector construction without a priori knowledge of textures different from the analyzed one is presented. The Fisher criterion was used to measure an ability of the proposed method for successful discrimination of pairs of textures. This work provides also comparison of the proposed technique with a wide-used wavelet texture features.

Published
2003
Pages
95–104
Proceedings
Proceedings of the 2nd Australasian Data Mining Workshop
ISBN
0-9751724-1-7
Publisher
University of Technology Sydney
Place
Sydney
BibTeX
@inproceedings{BUT10926,
  author="Martin {Heckel}",
  title="Texture Analysis via Data Mining",
  booktitle="Proceedings of the 2nd Australasian Data Mining Workshop",
  year="2003",
  pages="95--104",
  publisher="University of Technology Sydney",
  address="Sydney",
  isbn="0-9751724-1-7"
}
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