Conditional Spatial Fuzzy C-means Clustering Algorithm with Application in MRI Image Segmentation

  • Sudip Kumar Adhikari
  • Jamuna Kanta Sing
  • Dipak Kumar Basu
  • Mita Nasipuri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 340)


The fuzzy C-means (FCM) algorithm has got significant importance compared to other methods in medical image segmentation. In this paper, we propose a conditional spatial fuzzy C-means (csFCM) clustering algorithm to improve the robustness of the conventional FCM algorithm. This is achieved through the incorporation of conditioning effects imposed by some auxiliary variables and spatial information in the membership functions. By combining these two aspects, we are able to solve the problems of sensitivity to noisy data and inhomogeneity. The experimental results on several simulated and real-patient MRI brain images show that the csFCM method has superior performance on image segmentation than the FCM algorithm and some other FCM-based clustering algorithms.


Image segmentation MRI brain image Fuzzy C-means Spatial information 


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Copyright information

© Springer India 2015

Authors and Affiliations

  • Sudip Kumar Adhikari
    • 1
  • Jamuna Kanta Sing
    • 2
  • Dipak Kumar Basu
    • 2
  • Mita Nasipuri
    • 2
  1. 1.Department of Computer Science and EngineeringNeotia Institute of Technology, Management and ScienceSarishaIndia
  2. 2.Department of Computer Science and EngineeringJadavpur UniversityKolkataIndia

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