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Segmentation of Brain Parts from MRI Image Slices Using Genetic Algorithm

  • K. Vikram
  • Hema P. MenonEmail author
  • Dhanya M. Dhanalakshmy
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 28)

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.

Keywords

Brain image Evolutionary computing Genetic algorithm Magnetic resonance imaging (MRI) Segmentation 

Notes

Acknowledgements

The authors would like to extend the heartfelt gratitude to the faculty-in-charge of Amrita-Cognizant Innovation Lab, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore for the support extended in carrying out this work.

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Copyright information

© Springer International Publishing AG  2018

Authors and Affiliations

  • K. Vikram
    • 1
  • Hema P. Menon
    • 1
    Email author
  • Dhanya M. Dhanalakshmy
    • 1
  1. 1.Department of Computer Science and Engineering, Amrita School of Engineering, CoimbatoreAmrita Vishwa Vidyapeetham, Amrita UniversityCoimbatoreIndia

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