Detail publikace

Texture Analysis via Data Mining

HECKEL, M.

Originální název

Texture Analysis via Data Mining

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

HECKEL, M.

Rok RIV

2003

Vydáno

8. 12. 2003

Nakladatel

University of Technology Sydney

Místo

Sydney

ISBN

0-9751724-1-7

Kniha

Proceedings of the 2nd Australasian Data Mining Workshop

Strany od

95

Strany do

104

Strany počet

10

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"
}