What is it about?
Extraction of three main tissues of human brain using soft computing techniques.
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Why is it important?
The existing methods in the literature use predefined fuzzy membership functions to define the triple vector of intuitionistic fuzzy set. The proposed method eliminate the use of fuzzy function dependency and works well in noise and bias field.
Perspectives
This methods doesn't depend on the fuzzy membership function to define the triple membership function of intuitionistic fuzzy sets (IFS). The IFS segmentation the tissues effectively in presence of noise and bias field. The method has experimented for various noise level s and bias field and proved to be superior compared to existing methods of segmentation of brain tissues.
Anupama Namburu
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This page is a summary of: Generalised rough intuitionistic fuzzy c-means for magnetic resonance brain image segmentation , IET Image Processing, September 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-ipr.2016.0891.
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