Publication detail

Data Mining and Its Use in Texture Analysis

HECKEL, M., ZENDULKA, J.

Original Title

Data Mining and Its Use in Texture Analysis

Type

journal article - other

Language

English

Original 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.

Keywords

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

Authors

HECKEL, M., ZENDULKA, J.

RIV year

2004

Released

1. 4. 2004

Publisher

IOS Press

Location

Amsterdam

ISBN

0169-2968

Periodical

Fundamenta Informaticae

Year of study

2004

Number

60

State

Republic of Poland

Pages from

173

Pages to

186

Pages count

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"
}