DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-1285

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-2,Issue-10  ( Oct, 2014 )
Paper Title
Feature Extraction And Classification Of FMRI Images
Author Name
Ashish Panat, Anita Patil, Rohini Chauhan
Affilition
Research Guide, Priyadarshini College of Engineering, Nagpur, India Research Scholar, Priyadarshini College of Engineering, Nagpur, India P.G. Student, Cummins College of Engineering, Pune, India
Pages
51-55
Abstract
Functional magnetic resonance imaging (fMRI) is widely used to identify neural correlates of cognitive tasks. Statistical features like Correlation and Entropy are extracted from fMRI images of human brain of emotional and normal state of mind. The features are based on texture properties of fMRI images. The features so extracted are classified using GMM and kNN classifiers to help distinguish between normal and emotional state of human brain.
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