DocumentCode :
314905
Title :
A colour histogram clustering technique for tissue analysis of healing skin wounds
Author :
Berriss, W.P. ; Sangwine, S.J.
Author_Institution :
Reading Univ., UK
Volume :
2
fYear :
1997
fDate :
14-17 Jul 1997
Firstpage :
693
Abstract :
A method for automatically quantifying the proportions of healthy granulation tissue in a healing skin wound using true colour image processing is described. A novel technique is proposed, involving the computation of the 3D RGB histogram of colour wound images and operations on it. Clustering of bins in the colour histogram has been used to achieve automatic segmentation of the different tissue types within the wound site: granulation tissue, slough and necrotic tissue. The technique makes use of the colour information in terms of RGB co-ordinates, rather than treating the R, G and B components separately
Keywords :
image segmentation; 3D RGB histogram; RGB co-ordinates; automatic segmentation; clustering; colour histogram clustering technique; granulation tissue; healing skin wounds; healthy granulation tissue; necrotic tissue; slough tissue; tissue analysis;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and Its Applications, 1997., Sixth International Conference on
Conference_Location :
Dublin
ISSN :
0537-9989
Print_ISBN :
0-85296-692-X
Type :
conf
DOI :
10.1049/cp:19970984
Filename :
615616
Link To Document :
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