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Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Segmentation of Brain Parts from MRI Image Slices Using Genetic Algorithm

Authors : K. Vikram, Hema P. Menon, Dhanya M. Dhanalakshmy

Published in: Computational Vision and Bio Inspired Computing

Publisher: Springer International Publishing

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Abstract

In this work a genetic algorithm based approach for segmenting the parts of brain MRI (Magnetic Resonance Imaging) image slices has been presented. Segmentation of the brain MRI image has been a challenging task and an open area for research off late due to reason that, the intensity differences between the different regions present in the image is very less. Hence a complete automation of segmentation process is difficult. In this work the various parameters of the genetic algorithm has been analyzed and an oprimized threshold value has been determined based on the slice type. The complexities in the segmentation algorithm and the challenges have also been reported.

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Metadata
Title
Segmentation of Brain Parts from MRI Image Slices Using Genetic Algorithm
Authors
K. Vikram
Hema P. Menon
Dhanya M. Dhanalakshmy
Copyright Year
2018
Book
Computational Vision and Bio Inspired Computing

Print ISBN: 978-3-319-71766-1

Electronic ISBN: 978-3-319-71767-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71767-8_38