Paper Info
Title
On The Use Of Fuzzy Texture Spectrum For Homogeneous And Textured Images Discrimination
Abstract
Identifying the perceived qualities and properties of texture in images is an important step for image analysis, however the vague definition of texture has led to a huge variety of ways to analyze and characterize texture. In the ninetieths He and Wang [1] proposed the use of the Texture Spectrum for extracting texture features. Recently we have developed a fuzzy-based Texture Spectrum coding approach, the Fuzzy Texture Spectrum coding [2], in which a texture image could be described by the occurrence frequency function of all its Fuzzy Texture Feature Vectors. Later on, in [3], we proved the robustness of the proposed approach, particularly for representing homogeneity features.As an extension of our previous study on the analysis of the Fuzzy Texture Spectrum coding for extracting texture features, in this paper we present the first results of our ongoing work for obtaining the classes encoded by the Reduced Fuzzy Texture Spectrum allowing to determine images' texture characteristics as well as the degrees to which these classes determine image's texture and homogeneity.
Year
DOI
Venue
2007
10.1109/FUZZY.2007.4295653
2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4
Keywords
Field
DocType
image analysis,surface texture,helium,fuzzy set theory,spectrum,frequency,image texture,statistics,feature extraction,image segmentation
Texture compression,Computer science,Fuzzy set,Image segmentation,Artificial intelligence,Computer vision,Feature vector,Pattern recognition,Image texture,Fuzzy logic,Feature extraction,Texture filtering,Machine learning
Conference
ISSN
Citations 
PageRank 
1098-7584
0
0.34
References 
Authors
12
3
Name
Order
Citations
PageRank
Miquel Grau-Sanchez171.22
Eduard Montseny227240.75
Pilar Sobrevilla328541.28