Publication detail

Data Mining and Its Use in Texture Analysis

HECKEL, M., ZENDULKA, J.

Original Title

Data Mining and Its Use in Texture Analysis

English Title

Data Mining and Its Use in Texture Analysis

Type

journal article - other

Language

en

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.

English 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.

RIV year

2004

Released

01.04.2004

Publisher

IOS Press

Location

Amsterdam

ISBN

0169-2968

Periodical

Fundamenta Informaticae

Year of study

2004

Number

60

State

PL

Pages from

173

Pages to

186

Pages count

14

Documents

BibTex


@article{BUT45715,
  author="Martin {Heckel} and Jaroslav {Zendulka}",
  title="Data Mining and Its Use in Texture Analysis",
  annote="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.",
  address="IOS Press",
  booktitle="Fundamenta Informaticae",
  chapter="45715",
  institution="IOS Press",
  journal="Fundamenta Informaticae",
  number="60",
  volume="2004",
  year="2004",
  month="april",
  pages="173--186",
  publisher="IOS Press",
  type="journal article - other"
}