Towards a comprehensive assessment of wound-composition using color-image processing

  • Authors:

  • Rohit Nayak;Pramod Kumar;Ramesh R. Galigekere

  • Affiliations:

  • Dept. of Elec. & Electronics Eng., Manipal Institute of Technology, Manipal, India;Dept of Plastic Surgery, Kasturba Medical College, Manipal, India;Dept. of Biomedical Eng., Manipal Institute of Technology, Manipal, India

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

This paper reports the results of our work on assessing wound-composition based on color-image processing. A knowledge-base (reference-clusters in the 3D color space) of different categories of wound-tissue and pigmentation was built, using about 9000 pixels from 48 image of various wounds. The HSI model was used for the purpose. We address 8 categories of wound-tissue and pigmentation, many more than those reported so far in the literature. The Knowledge base was used subsequently for assessing wound-composition, through classification based on Mahalanobis distance. The results of experiments to test efficacy of the algorithm are encouraging.