Quantifying visual perception of texture with fuzzy metric entropy

Issue title: ICNC-FSKD 2015

Guest editors: Zheng Xiao and Kenli Li

Article type: Research Article

Authors: Pham, Tuan D.^*

Affiliations: Department of Biomedical Engineering, Linköping University, Linköping, Sweden

Correspondence: [*] Corresponding author. Tuan D. Pham, Department of Biomedical Engineering, Linköping University, 581 83 Linköping, Sweden. Tel.: +46 13 286778; E-mail: [email protected].

Abstract: The quantitative categorization of textures according to their visual appearances is an important area of research in computer vision and image understanding, because texture analysis and its applications are found useful in many areas of health, medicine, sciences, and engineering. For the first time, the theory of chaos and fuzzy sets are applied in this paper to measure the spatial dynamics of the texture spectrum. Experiments carried out on the well-known Brodatz texture database suggest the promising application of the method proposed for texture quantification.

Keywords: Texture categorization, spatial dynamics, metric entropy, fuzzy sets

DOI: 10.3233/JIFS-169038

Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 2, pp. 1089-1097, 2016