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Description

Overview:
This project presents the method for the segmentation and detection of tumor of Magnetic Resonances brain images using intuitionistic fuzzy representation and intuitionistic fuzzy divergence method. In this proposed method, skull stripping is carried out for the removal of unwanted portion from the brain image using morphology.  A Restricted equivalence function from automorphisms is used for intuitionistic fuzzy representation of image. Sugeno type intuitionistic fuzzy generator is used to calculate non-membership and hesitation degree. A new distance measure, Intuitionistic Fuzzy Divergence is used to find the optimum threshold to detect the brain tumour from MR images. The results showed a much better performance on poor illuminated brain MR images, where the brain tumor is detected properly.
Subject:
Communication
Level:
Graduate / Professional
Material Type:
Module
Author:
,
Date Added:
10/12/2017
License:
Creative Commons Attribution Non-Commercial No Derivatives
Language:
English
Media Format:
Downloadable docs

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