New protocol for leg ulcer tissue classification from colour images

H. Zheng, L. Bradley, D. Patterson, M. Galushka, J. Winder

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Citations (Scopus)

Abstract

Measurement of wound healing status is very important for monitoring progress in individual patients. Tissue classification is a vital step in the development of an automatic measurement system for wound healing assessment. We present a new tissue classification protocol using the RGB (Red, Green and Blue) histogram distributions of pixel values from wound color images. These three histogram distributions (extracted features) were used as three two-dimensional (2D) input signals for classification. This protocol has been carried out using the KNN classifier and results show that the proposed protocol provides an extremely competent practical method for the classification of wound tissues.
Original languageEnglish
Title of host publicationThe 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE
Pages1389-1392
Number of pages4
ISBN (Print)0-7803-8439-3
DOIs
Publication statusPublished - 19 Mar 2005
EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society - San Francisco, CA, USA, San Francisco, United States
Duration: 1 Sep 20045 Sep 2004
Conference number: 26
https://ieeexplore.ieee.org/xpl/conhome/9639/proceeding

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/TerritoryUnited States
CitySan Francisco
Period1/09/045/09/04
Internet address

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