DocumentCode :
2316039
Title :
An adaptive fuzzy approach for texture modelling
Author :
Chamorro-Martínez, J. ; Martínez-Jiménez, P.
Author_Institution :
Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a method to adapt the fuzzy sets that models the ”coarseness” texture property according to different coarse-fine perceptions is proposed. The membership functions associated to these fuzzy sets are obtained on the basis of the human assessments given by a pool, that represent the average coarse-fine perception degree. In the proposed method, the user´s particular perception about coarseness-fineness and the changes in perception influenced by the image context have been taken into account to adapt the models. The membership functions are automatically adapted by means of a transformation of functions on the basis of the new coarse-fine perception.
Keywords :
fuzzy set theory; image texture; adaptive fuzzy approach; coarse fine perceptions; fuzzy sets theory; image context; texture modelling; texture property; Adaptation model; Context; Context modeling; Correlation; Fuzzy sets; Humans; Measurement uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5584903
Filename :
5584903
Link To Document :
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