Publication Details

Data Mining and Its Use in Texture Analysis

HECKEL Martin and ZENDULKA Jaroslav. Data Mining and Its Use in Texture Analysis. Fundamenta Informaticae, vol. 2004, no. 60, pp. 173-186. ISSN 0169-2968.

Czech title

Dolování dat a jeho použití v texturní analýze

Type

journal article

Language

english

Authors

Heckel Martin, Ing. (DIFS FIT BUT)
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT)

Keywords

Data mining, association rules, texture analysis, texture primitive.

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 method utilizes the multiresolution analysis of an analyzed image texture and works at the texture primitive level. Within this method, a technique for feature vector construction without any a priori knowledge of textures different from the analyzed one is presented. The contribution also contains some results of texture image segmentation experiments.

Published

2004

Pages

173-186

Journal

Fundamenta Informaticae, vol. 2004, no. 60, ISSN 0169-2968

Book

Fundamenta Informaticae

Publisher

IOS Press

Place

Amsterdam, NL

BibTeX

@ARTICLE{FITPUB7408,
   author = "Martin Heckel and Jaroslav Zendulka",
   title = "Data Mining and Its Use in Texture Analysis",
   pages = "173--186",
   booktitle = "Fundamenta Informaticae",
   journal = "Fundamenta Informaticae",
   volume = 2004,
   number = 60,
   year = 2004,
   location = "Amsterdam, NL",
   publisher = "IOS Press",
   ISSN = "0169-2968",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/7408"
}