Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

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

Authors
P.M. Martínez-Jiménez, Jesús Chamorro-Martínez, José M. Soto-Hidalgo
Corresponding Author
P.M. Martínez-Jiménez
Available Online June 2015.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

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  - 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.31
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.31
ID  - Martínez-Jiménez2015/06
ER  -