A New Approach for MR Brain Image Segmentation using Intuitionistic Fuzzy Complement | Zendy

P. Dhanalakshmi | Zendy; Muthu Subash Kavitha | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A New Approach for MR Brain Image Segmentation using Intuitionistic Fuzzy Complement

Author(s) -

P. Dhanalakshmi,

Muthu Subash Kavitha

Publication year - 2016

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2016910875

Subject(s) - computer science , complement (music) , segmentation , artificial intelligence , image (mathematics) , computer vision , pattern recognition (psychology) , biochemistry , chemistry , complementation , gene , phenotype

As medical images contain uncertainities there are difficulties in classification of images into homogeneous regions.In order to carry out this task,intuitive ways have been found out to interpret and describe the inherent ambiguity and vagueness in the medical images interms of intuitionistic fuzzy set theory.The comparison of Intuitionistic Fuzzy C-Means algorithm with three different type of Intuitionistic Fuzzy Generator(IFG) is presented in this paper.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research