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Analysis of Fuzzy Clustering Algorithms for the Segmentation of Burn Wounds Photographs

  • A. Castro
  • C. Bóveda
  • B. Arcay
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4142)

Abstract

A widely used practice in Burn Wounds Centres is the incorporation of a photograph of the burned area into the patient’s clinical history. This photograph is used as a reference for each revision of the diagnosis or the therapeutic plan. This article presents the results of the evaluation of various fuzzy clustering algorithms applied to the segmentation of burn wounds images. The study compares recent and classical algorithms in order to establish a better comparison between the benefits of more complex techniques for pixel classification. Our final purpose is to develop a module that provides the medical expert with information on the extension of the burned area.

Keywords

Burned Area Medical Expert Penalization Factor Fuzzy Cluster Algorithm Pixel Classification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • A. Castro
    • 1
  • C. Bóveda
    • 1
  • B. Arcay
    • 1
  1. 1.Dept. of Information and Communications Technologies, Faculty of InformaticsUniversity of A Coruña 

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