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

conference paper

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 texture primitive level. Within this method, a technique for feature vector construction without a priori knowledge of textures different from the analyzed one is presented. This 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 texture primitive level. Within this method, a technique for feature vector construction without a priori knowledge of textures different from the analyzed one is presented. This contribution also contains some results of texture image segmentation experiments.

Keywords

Data mining, texture analysis, association rule

RIV year

2004

Released

24.09.2003

Publisher

Warsaw University

Location

Warsaw

ISBN

83-88374-71-0

Book

Proceedings of the CS&P'2003 Workshop

Pages from

225

Pages to

234

Pages count

10

Documents

BibTex


@inproceedings{BUT10889,
  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 texture primitive level. Within this method, a
technique for feature vector construction without a priori knowledge of
textures different from the analyzed one is presented. This
contribution also contains some results of texture image segmentation
experiments.",
  address="Warsaw University",
  booktitle="Proceedings of the CS&P'2003 Workshop",
  chapter="10889",
  institution="Warsaw University",
  year="2003",
  month="september",
  pages="225--234",
  publisher="Warsaw University",
  type="conference paper"
}