Data Mining and Its Use in Texture Analysis

Authors:
Martin Heckel;Jaroslav Zendulka
Affiliations:
Faculty of Information Technology, Brno University of Technology, Bozetechova 2, 612 66 Brno, Czech Republic;Faculty of Information Technology, Brno University of Technology, Bozetechova 2, 612 66 Brno, Czech Republic
Venue:
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
Year:
2004

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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.