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

Author

Nayak, Rohit ; Kumar, Pramod ; Galigekere, Ramesh R.

Author_Institution

Dept. of Elec. & Electron. Eng., Manipal Inst. of Technol., Manipal, India

fYear

2009

fDate

7-10 Nov. 2009

Firstpage

4185

Lastpage

4188

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.

Keywords

image classification; image colour analysis; image resolution; medical image processing; 3D color space; Mahalanobis distance; color-image processing; knowledge-base; reference-clusters; wound-composition assessment; Pigmentation; Pixel; Testing; Wounds; Color-image processing; HSI model; Mahalanobis distance; Wound composition;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2009 16th IEEE International Conference on

Conference_Location

Cairo

ISSN

1522-4880

Print_ISBN

978-1-4244-5653-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2009.5414527

Filename

5414527