Texture Feature Extraction Using Intuitionistic Fuzzy Local Binary Pattern

Journal of Intelligent Systems (1):19-34 (2016)
  Copy   BIBTEX

Abstract

In this paper, intuitionistic fuzzy local binary for texture feature extraction has been proposed to encode local texture from the input image. The proposed method extends the fuzzy local binary pattern approach by incorporating intuitionistic fuzzy sets in the representation of local patterns of texture in images. Intuitionistic fuzzy local binary pattern also contributes to more than one bin in the distribution of IFLBP values, which can further be used as a feature vector in the various fields of image processing. The performance of the proposed method has been demonstrated on various medical images and processing images of size 256×256. The obtained results validated the effectiveness and usefulness of our proposed method over the other reported methods, and new improvements are suggested.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 100,793

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Generalized Intuitionistic Fuzzy Ideals Spaces.A. A. Salama & S. A. Alblowi - 2013 - Journal of Mathematics and Statistics 3 (1):21-25.
Intuitionistic Fuzzy Ideals Topological Spaces.A. A. Salama & S. A. Alblowi - 2012 - Advances in Fuzzy Mathematics 7 (1):51-60.

Analytics

Added to PP
2017-12-14

Downloads
11 (#1,437,400)

6 months
5 (#1,012,768)

Historical graph of downloads
How can I increase my downloads?

References found in this work

No references found.

Add more references