Fuzzy Descriptors based on Color, Coarseness, Directionality and Contrast for Image Retrieval

DOI

10.2991/ifsa-eusflat-15.2015.33How to use a DOI?

Keywords

Fuzzy Descriptor, color modelling, texture modelling, quantified sentences, retrieval.

Abstract

In this paper the concept of fuzzy descriptor as a level-two fuzzy set to represent some visual features is proposed. In particular, a fuzzy descriptor based on the dominance of color and texture features is defined and applied to image retrieval. For this purpose, the color and texture are modelled using fuzzy sets, taking into account the imprecision related to these visual features. In addition, the dominance is defined on the basis of a nondecreasing fuzzy quantifier, and the degree of dominance is calculated by means of quantified sentences evaluation. Finally, comparison measures between fuzzy descriptors are presented, and the proposed descriptors and measures are illustrated in image retrieval examples.

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  - José M. Soto-Hidalgo
AU  - Pedro Manuel Martínez-Jiménez
AU  - Jesus Chamorro-Martínez
PY  - 2015/06
DA  - 2015/06
TI  - Fuzzy Descriptors based on Color, Coarseness, Directionality and Contrast for Image Retrieval
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  - 217
EP  - 224
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.33
DO  - 10.2991/ifsa-eusflat-15.2015.33
ID  - Soto-Hidalgo2015/06
ER  -