Fuzzy modelling of visual texture: coarseness, contrast and directionality properties

DOI

10.2991/ifsa-eusflat-15.2015.31How to use a DOI?

Keywords

Image features, texture modelling, fuzzy sets, human perception.

Abstract

The analysis of the perceptual properties of texture plays a fundamental role in tasks like semantic description of images or content-based image retrieval using linguistic queries. In this paper, we propose to model these properties by means of fuzzy sets defined on the domain of some representative measures. In our approach, the membership functions associated to these fuzzy sets are obtained by learning a functional relationship between the computational values given by the measures and the human perception of the properties. The performance of each fuzzy set is analyzed and tested with human assessments, allowing us to identify the most suitable model to represent each property.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - P.M. Martínez-Jiménez
AU  - Jesús Chamorro-Martínez
AU  - José M. Soto-Hidalgo
PY  - 2015/06
DA  - 2015/06
TI  - Fuzzy modelling of visual texture: coarseness, contrast and directionality properties
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 202
EP  - 209
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.31
DO  - 10.2991/ifsa-eusflat-15.2015.31
ID  - Martínez-Jiménez2015/06
ER  -