International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2572

Full Length Research Paper

MR imaging enhancement and segmentation of tumor using fuzzy curvelet

M. Arfan Jaffar1*, Abdulrahman Abdulkarim Mirza2 and Maqsood Mahmud2
  1National University of Computer and Emerging Sciences, Islamabad, Pakistan. 2Department of Information Systems, College of Computer and Information Sciences (CCIS), King Saud University, Saudi Arabia.
Email: [email protected]

  •  Accepted: 01 November 2011
  •  Published: 30 November 2011

Abstract

 

Medical image segmentation is a very important issue in medical imaging. An automatic brain MR image segmentation method has been proposed for tumor detection in this paper. Discretize local window and wrapping based Curvelet transform has been used to remove rician noise. A modified fuzzy C-mean algorithm is used for segmentation of brain MR image. Proposed system has been tested on different datasets of MR Images. Proposed system performs well on all types of MR images including T1, T2 and PD brain MR images.

 

Key words: Modified fuzzy C mean, wrapping based curvelet, brain magnetic resonance imaging segmentation.

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This article is published under the terms of the Creative Commons Attribution License 4.0

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