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Multimedia Tools and Applications

, Volume 64, Issue 2, pp 331–344 | Cite as

SOM and fuzzy based color image segmentation

  • Ahmad Khan
  • M. Arfan Jaffar
  • Tae-Sun Choi
Article

Abstract

Spatial information enhances the quality of clustering which is not utilized in the conventional FCM. Normally fuzzy c-mean (FCM) algorithm is not used for color image segmentation and also it is not robust against noise. In this paper, we presented a modified version of fuzzy c-means (FCM) algorithm that incorporates spatial information into the membership function for clustering of color images A progressive technique based on SOM is used to automatically find the number of optimal clusters. The results show that our technique outperforms state-of-the art methods.

Keyword

Self Organizing Map (SOM) Segmentation FCM Cluster center 

Notes

Acknowledgement

This work (2011-0015740) was supported by Mid-career Researcher Program through NRF grant funded by the MEST.

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.National University of Computer & Emerging SciencesIslamabadPakistan
  2. 2.Gwangju Institute of Science & TechnologyGwangjuKorea

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