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"
}