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

Rohit Nayak; Pramod Kumar; Ramesh R. Galigekere

doi:10.1109/ICIP.2009.5414527

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

Rohit Nayak, Pramod Kumar, Ramesh R. Galigekere

Department of Biomedical Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 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 language	English
Title of host publication	2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
Publisher	IEEE Computer Society
Pages	4185-4188
Number of pages	4
ISBN (Print)	9781424456543
DOIs	https://doi.org/10.1109/ICIP.2009.5414527
Publication status	Published - 01-01-2009
Event	2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt Duration: 07-11-2009 → 10-11-2009

Conference

Conference	2009 IEEE International Conference on Image Processing, ICIP 2009
Country/Territory	Egypt
City	Cairo
Period	07-11-09 → 10-11-09

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2009.5414527

Cite this

@inproceedings{23412ba0492f4c5bbb8e99cefc096cd4,

title = "Towards a comprehensive assessment of wound-composition using color-image processing",

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.",

author = "Rohit Nayak and Pramod Kumar and Galigekere, {Ramesh R.}",

year = "2009",

month = jan,

day = "1",

doi = "10.1109/ICIP.2009.5414527",

language = "English",

isbn = "9781424456543",

pages = "4185--4188",

booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",

publisher = "IEEE Computer Society",

address = "United States",

note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",

}

Nayak, R, Kumar, P & Galigekere, RR 2009, Towards a comprehensive assessment of wound-composition using color-image processing. in 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings., 5414527, IEEE Computer Society, pp. 4185-4188, 2009 IEEE International Conference on Image Processing, ICIP 2009, Cairo, Egypt, 07-11-09. https://doi.org/10.1109/ICIP.2009.5414527

TY - GEN

T1 - Towards a comprehensive assessment of wound-composition using color-image processing

AU - Nayak, Rohit

AU - Kumar, Pramod

AU - Galigekere, Ramesh R.

PY - 2009/1/1

Y1 - 2009/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77951947828&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77951947828&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2009.5414527

DO - 10.1109/ICIP.2009.5414527

M3 - Conference contribution

AN - SCOPUS:77951947828

SN - 9781424456543

SP - 4185

EP - 4188

BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings

PB - IEEE Computer Society

T2 - 2009 IEEE International Conference on Image Processing, ICIP 2009

Y2 - 7 November 2009 through 10 November 2009

ER -

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

Abstract

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this