Modelling Coarseness in Texture Images by Means of Fuzzy Sets

  • J. Chamorro-Martínez
  • E. Galán-Perales
  • D. Sánchez
  • J. M. Soto-Hidalgo
Conference paper

DOI: 10.1007/11893004_46

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)
Cite this paper as:
Chamorro-Martínez J., Galán-Perales E., Sánchez D., Soto-Hidalgo J.M. (2006) Modelling Coarseness in Texture Images by Means of Fuzzy Sets. In: Gabrys B., Howlett R.J., Jain L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science, vol 4252. Springer, Berlin, Heidelberg

Abstract

In this paper we model the concept of ”coarseness”, typically used in texture image descriptions, by means of fuzzy sets. Specifically, we relate representative measures of this kind of texture with its presence degree. To obtain these ”presence degrees”, we collect assessments from polls filled by human subjects, performing an aggregation of these assessments by means of OWA operators. Using this collected data, and some statistics as reference set, the membership function corresponding to the fuzzy set ”coarseness” is modelled.

Keywords

Image features texture features fuzzy texture visual coarseness 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • J. Chamorro-Martínez
    • 1
  • E. Galán-Perales
    • 1
  • D. Sánchez
    • 1
  • J. M. Soto-Hidalgo
    • 1
  1. 1.Department of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain

Personalised recommendations