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

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

Authors
José M. Soto-Hidalgo, Pedro Manuel Martínez-Jiménez, Jesus Chamorro-Martínez
Corresponding Author
José M. Soto-Hidalgo
Available Online June 2015.
DOI
https://doi.org/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.
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  - 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  - 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-15.2015.33
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.33
ID  - Soto-Hidalgo2015/06
ER  -