Detail publikace

Data Mining and Its Use in Texture Analysis

HECKEL, M., ZENDULKA, J.

Originální název

Data Mining and Its Use in Texture Analysis

Typ

článek v časopise - ostatní, Jost

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 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.

Klíčová slova

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

Autoři

HECKEL, M., ZENDULKA, J.

Rok RIV

2004

Vydáno

1. 4. 2004

Nakladatel

IOS Press

Místo

Amsterdam

ISSN

0169-2968

Periodikum

Fundamenta Informaticae

Ročník

2004

Číslo

60

Stát

Polská republika

Strany od

173

Strany do

186

Strany počet

14

BibTex

@article{BUT45715,
  author="Martin {Heckel} and Jaroslav {Zendulka}",
  title="Data Mining and Its Use in Texture Analysis",
  journal="Fundamenta Informaticae",
  year="2004",
  volume="2004",
  number="60",
  pages="173--186",
  issn="0169-2968"
}