WRAPPER BASED FEATURE SELECTION FOR CT IMAGE

Diagnostic imaging is invaluable. Magnetic Resonance Imaging (MRI), digital mammography, Computed Tomography (CT), and others ensure effective noninvasive mapping of a subject’s anatomy, and increased normal and diseased anatomy knowledge for medical research in addition to being a critical componen...

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Bibliographic Details
Published in:	ICTACT journal on image and video processing Vol. 6; no. 1; pp. 1096 - 1103
Main Authors:	D, Chitra, G. M., Nasira
Format:	Journal Article
Language:	English
Published:	ICT Academy of Tamil Nadu 01.08.2015
Subjects:	Bacterial Foraging Optimization (BFO) Computed Tomography (CT) Correlation Based Feature Selection (CFS) Gray-Level Co-occurrence Matrix (GLCM) Median Absolute Deviation (MAD) Wavelet
ISSN:	0976-9099, 0976-9102
Online Access:	Get full text
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Summary:	Diagnostic imaging is invaluable. Magnetic Resonance Imaging (MRI), digital mammography, Computed Tomography (CT), and others ensure effective noninvasive mapping of a subject’s anatomy, and increased normal and diseased anatomy knowledge for medical research in addition to being a critical component in diagnosis and treatment. In this work various feature selection algorithms are investigated and a Swarm Intelligence Algorithm based on Bacterial Foraging is proposed. Features are extracted using wavelet and Gray-Level Co-occurrence Matrix (GLCM). The obtained features are fused using Median Absolute Deviation (MAD) after normalization and the feature selection techniques investigated. Results obtained show the improved performance of Bacterial Foraging based feature selection for different classifiers.
ISSN:	0976-9099 0976-9102
DOI:	10.21917/ijivp.2015.0160