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New Robust Fuzzy C-Means Based Gaussian Function in Classifying Brain Tissue Regions

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Book cover Contemporary Computing (IC3 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 40))

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Abstract

This paper introduces a new fuzzy c-mean objective function called Kernel induced Fuzzy C-Means based Gaussian Function for the purpose of segmentation of brain medical images. It obtains effective methods for calculating memberships and updating prototypes by minimizing the new objective function of Gaussian based fuzzy c-means. The performance of proposed algorithm has been tested with synthetic image and then it has been implemented for segmenting the brain [18] medical images to reduce the inhomogeneities and to allow the labeling of a pixel (voxel) to be influenced by the labels in its immediate neighborhood. Also this paper compares the results of proposed method with the results of existing basic Fuzzy C-Means.

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Author information

Authors and Affiliations

  1. National Cheng Kung University, Taiwan

    S. R. Kannan & S. Ramathilagam

  2. Gandhigram Rural University, India

    S. R. Kannan, A. Sathya & R. Pandiyarajan

Authors
  1. S. R. Kannan
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  2. A. Sathya
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  3. S. Ramathilagam
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  4. R. Pandiyarajan
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Editor information

Editors and Affiliations

  1. Dept. of Computer Sciences, University of Florida, Gainesville, FL, 32611, USA

    Sanjay Ranka

  2. Laurence H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University, USA

    Srinivas Aluru

  3. Grid Computing and Distributed Systems Laboratory and, NICTA Victoria Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia

    Rajkumar Buyya

  4. Department of Computer Science, National Tsing Hua University, Taiwan

    Yeh-Ching Chung

  5. Computer Science, College of Engineering and Science, Louisiana Tech University, Ruston, LA, 71272, USA

    Sumeet Dua  & Vir V. Phoha  & 

  6. Department of Computer Sciences, Purdue University, W. Lafayette, IN, 47907, USA

    Ananth Grama

  7. Arizona State University, Tempe, AZ, 85281, USA

    Sandeep K. S. Gupta

  8. Computer Science and Engineering Department, Indian Institute of Technology Kharagpur, 721 302, WB, India

    Rajeev Kumar

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© 2009 Springer-Verlag Berlin Heidelberg

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Kannan, S.R., Sathya, A., Ramathilagam, S., Pandiyarajan, R. (2009). New Robust Fuzzy C-Means Based Gaussian Function in Classifying Brain Tissue Regions. In: Ranka, S., et al. Contemporary Computing. IC3 2009. Communications in Computer and Information Science, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03547-0_16

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  • DOI: https://doi.org/10.1007/978-3-642-03547-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03546-3

  • Online ISBN: 978-3-642-03547-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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