Medical image thresholding scheme using Atanassov intuitionistic fuzzy set

Author

Chaira, Tamalika

Author_Institution

Centre for Biomed. Eng., Indian Inst. of Technol., Delhi, India

fYear

2009

fDate

14-15 Dec. 2009

Firstpage

1

Lastpage

5

Abstract

This paper addresses a novel image thresholding scheme using Atanassov intuitionistic fuzzy set. The intuitionistic fuzzy set theory takes into account the membership degree and another uncertainty term , the non- membership degree. Non membership degree is calculated from Sugeno type intuitionistic fuzzy generator. The use of two uncertainties in the Atanassov´s intuitionistic fuzzy set helps in thresholding the image more appropriately. The effectiveness of the algorithm is demonstrated by performing experiment on different types of poorly illuminated pathological blood vessel images and comparing with other existing fuzzy and intuitionistic fuzzy thresholding algorithms.

Keywords

fuzzy logic; fuzzy set theory; image segmentation; medical image processing; Atanassov intuitionistic fuzzy set; Sugeno type intuitionistic fuzzy generator; intuitionistic fuzzy set theory; intuitionistic fuzzy thresholding; medical image thresholding scheme; membership degree; nonmembership degree; poorly illuminated pathological blood vessel images; Biomedical imaging; Clustering algorithms; Entropy; Fuzzy set theory; Fuzzy sets; Histograms; Image segmentation; Pathology; Pixel; Uncertainty; Intuitionistic fuzzy set; Sugeno intuitionistic fuzzy generator; gamma membership function; hesitation degree; thresholding;

fLanguage

English

Publisher

ieee

Conference_Titel

Methods and Models in Computer Science, 2009. ICM2CS 2009. Proceeding of International Conference on

Conference_Location

Delhi

Print_ISBN

978-1-4244-5051-0

Type

conf

DOI

10.1109/ICM2CS.2009.5397984

Filename

5397984