NDLI: A Fuzzy Approach to Image Texture Representation Applied to Visual Coarseness Description

Content Provider	IEEE Xplore Digital Library
Author	Chamorro-Martinez, J. Galan-Perales, E. Sanchez, D. Prados-Suarez, B.
Copyright Year	2006
Description	Author affiliation: Univ. of Granada, Granada (Chamorro-Martinez, J.; Galan-Perales, E.; Sanchez, D.; Prados-Suarez, B.)
Abstract	Although "texture" is one of the most used features in image analysis, it is an ambiguous concept which, in many cases, is not easy to characterize. In this paper we face the problem of imprecision in texture description by proposing a methodology to represent texture concepts by means of fuzzy sets. Specifically, we model the concept of "coarseness", the most extended in texture analysis, relating representative measures of this kind of texture (usually some statistic) with its presence degree. To obtain these "presence degrees" related to human perception, we propose a methodology to collect assessments from polls filled by human subjects, performing an aggregation of these assessments by means of OWA operators. Using as reference set a combination of some statistics, the membership function corresponding to the fuzzy set "coarseness" will be modelled as the function which provides the best fit of the collected data. The proposed methodology could be extended to other types of texture concepts like orientation, roughness or regularity. The main novelty of this approach is the introduction of semantics in the texture analysis problem, by using linguistic labels represented by fuzzy sets in order to describe texture features.
Starting Page	1099
Ending Page	1104
File Size	389460
Page Count	6
File Format	PDF
ISBN	0780394887
DOI	10.1109/FUZZY.2006.1681847
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image texture Fuzzy sets Image color analysis Image texture analysis Statistical analysis Humans Fuzzy logic Uncertainty Proposals Computer science
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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