An improved Kernel-based fuzzy C-means algorithm with spatial information for brain MR image segmentation

Rong Xu, Jun Ohya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose an improved Kernel-based Fuzzy C-means Algorithm (iKFCM) with spatial information to reduce the effect of noise for brain MR image segmentation. We use k-nearest neighbour model and a neighbourhood controlling factor by estimating image contextual constraints to optimize the objective function of conventional KFCM method. Conventional KFCM algorithms classify each pixel in image only by its own gray value, but the proposed method classifies by the gray values of its neighbourhood system. For this reason, the proposed iKFCM has a strong robustness for image noise in image segmentation. In experiments, some synthetic grayscale images and simulated brain MR images are used to assess the performance of iKFCM in comparison with other fuzzy clustering methods. The experimental results show that the proposed iKFCM method achieves a better segmentation performance than other fuzzy clustering methods.

Original languageEnglish
Title of host publicationIVCNZ 2010 - 25th International Conference of Image and Vision Computing New Zealand
DOIs
Publication statusPublished - 2010 Dec 1
Event25th International Conference of Image and Vision Computing New Zealand, IVCNZ 2010 - Queenstown, New Zealand
Duration: 2010 Nov 82010 Nov 9

Publication series

NameInternational Conference Image and Vision Computing New Zealand
ISSN (Print)2151-2191
ISSN (Electronic)2151-2205

Conference

Conference25th International Conference of Image and Vision Computing New Zealand, IVCNZ 2010
CountryNew Zealand
CityQueenstown
Period10/11/810/11/9

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Keywords

  • Fuzzy clustering
  • Kernel-based fuzzy c-means (KFCM)
  • brain MR images
  • image segmentation
  • spatial information

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Xu, R., & Ohya, J. (2010). An improved Kernel-based fuzzy C-means algorithm with spatial information for brain MR image segmentation. In IVCNZ 2010 - 25th International Conference of Image and Vision Computing New Zealand [6148819] (International Conference Image and Vision Computing New Zealand). https://doi.org/10.1109/IVCNZ.2010.6148819