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

Rohit Nayak, Pramod Kumar, Ramesh R. Galigekere

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

9 Citations (Scopus)

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 images 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 the efficacy of the algorithm are encouraging.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages4185-4188
Number of pages4
ISBN (Print)9781424456543
DOIs
Publication statusPublished - 01-01-2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 07-11-200910-11-2009

Conference

Conference2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period07-11-0910-11-09

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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