Title: Intuitionistic fuzzy local binary pattern for features extraction

Authors: Mohd Dilshad Ansari; Satya Prakash Ghrera

Addresses: Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan (HP), India ' Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan (HP), India

Abstract: We propose a novel intuitionistic fuzzy feature extraction method to encode local texture. The proposed method extends the fuzzy local binary pattern approach by incorporating intuitionistic fuzzy set theory in the representation of local patterns of texture in images. Intuitionistic fuzzy local binary pattern also contribute to more than one bin in the distribution of the intuitionistic fuzzy local binary pattern values which can be used as a feature vector. The proposed intuitionistic fuzzy local binary pattern approach was experimentally evaluated for Lena image of the size 256 × 256. The results validate the effectiveness of the proposed intuitionistic fuzzy local binary pattern over the local binary pattern and fuzzy local binary pattern feature extraction methods.

Keywords: fuzzy local binary pattern; FLBP; intuitionistic fuzzy sets; IFSs; intuitionistic fuzzy local binary pattern; IFLBP; entropy.

DOI: 10.1504/IJICT.2018.090435

International Journal of Information and Communication Technology, 2018 Vol.13 No.1, pp.83 - 98

Available online: 17 Jan 2018 *

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