New protocol for leg ulcer tissue classification from colour images

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

doi:10.1109/IEMBS.2004.1403432

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE
Pages	1389-1392
Number of pages	4
ISBN (Print)	0-7803-8439-3
DOIs	https://doi.org/10.1109/IEMBS.2004.1403432
Publication status	Published (in print/issue) - 19 Mar 2005
Event	Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Francisco, CA, USA, San Francisco, United States Duration: 1 Sept 2004 → 5 Sept 2004 Conference number: 26 https://ieeexplore.ieee.org/xpl/conhome/9639/proceeding

Conference

Conference	Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/Territory	United States
City	San Francisco
Period	1/09/04 → 5/09/04
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9639/proceeding

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10.1109/IEMBS.2004.1403432

Cite this

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title = "New protocol for leg ulcer tissue classification from colour images",

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.",

author = "H. Zheng and L. Bradley and D. Patterson and M. Galushka and J. Winder",

year = "2005",

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doi = "10.1109/IEMBS.2004.1403432",

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pages = "1389--1392",

booktitle = "The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE",

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note = "Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 01-09-2004 Through 05-09-2004",

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}

Zheng, H, Bradley, L, Patterson, D, Galushka, M & Winder, J 2005, New protocol for leg ulcer tissue classification from colour images. in The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, pp. 1389-1392, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco, United States, 1/09/04. https://doi.org/10.1109/IEMBS.2004.1403432

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T1 - New protocol for leg ulcer tissue classification from colour images

AU - Zheng, H.

AU - Bradley, L.

AU - Patterson, D.

AU - Galushka, M.

AU - Winder, J.

N1 - Conference code: 26

PY - 2005/3/19

Y1 - 2005/3/19

N2 - 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.

AB - 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.

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M3 - Conference contribution

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SN - 0-7803-8439-3

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BT - The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE

T2 - Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 1 September 2004 through 5 September 2004

ER -

New protocol for leg ulcer tissue classification from colour images

Abstract

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