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

^*Corresponding author for this work

Department of Biomedical Engineering, Manipal Institute of Technology, Manipal

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

11 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

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

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

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10.1109/ICIP.2009.5414527

Cite this

Nayak, R., Kumar, P., & Galigekere, R. R. (2009). Towards a comprehensive assessment of wound-composition using color-image processing. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 4185-4188). Article 5414527 (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5414527

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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",

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doi = "10.1109/ICIP.2009.5414527",

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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, Proceedings - International Conference on Image Processing, ICIP, 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

Towards a comprehensive assessment of wound-composition using color-image processing. / Nayak, Rohit; Kumar, Pramod; Galigekere, Ramesh R.
2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, 2009. p. 4185-4188 5414527 (Proceedings - International Conference on Image Processing, ICIP).

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

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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.

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

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

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