Multi-stage segmentation method for images of skin lesions

Tim Lee; Vincent To Yee Ng; David McLean; Andrew Coldman; Richard Gallagher; Joanna Sale

Multi-stage segmentation method for images of skin lesions

Tim Lee, Vincent To Yee Ng, David McLean, Andrew Coldman, Richard Gallagher, Joanna Sale

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

29 Citations (Scopus)

Abstract

In this paper, we present an algorithm to identify skin lesions from the digitized colour images collected in a clinical study of malignant melanomas in early 1994. The algorithm consists of three steps: (1) a multi-stage median filter to suppress noise, (2) a process to compute the threshold values for the lesions and the background normal skin, and (3) a rule-based system to identify the lesions. Trying to make full use of the colour information, the first two steps of the algorithm work on the RGB planes. Then the three colour planes are re-combined before the lesions are identified in the last step.

Original language	English
Title of host publication	IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings
Publisher	IEEE
Pages	602-605
Number of pages	4
Publication status	Published - 1 Jan 1995
Externally published	Yes
Event	Proceedings of the 1995 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Victoria, BC, Canada Duration: 17 May 1995 → 19 May 1995

Conference

Conference	Proceedings of the 1995 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing
Country/Territory	Canada
City	Victoria, BC
Period	17/05/95 → 19/05/95

ASJC Scopus subject areas

Signal Processing

Cite this

@inproceedings{cdf724d5d6dd4f6aa3884f7329155175,

title = "Multi-stage segmentation method for images of skin lesions",

abstract = "In this paper, we present an algorithm to identify skin lesions from the digitized colour images collected in a clinical study of malignant melanomas in early 1994. The algorithm consists of three steps: (1) a multi-stage median filter to suppress noise, (2) a process to compute the threshold values for the lesions and the background normal skin, and (3) a rule-based system to identify the lesions. Trying to make full use of the colour information, the first two steps of the algorithm work on the RGB planes. Then the three colour planes are re-combined before the lesions are identified in the last step.",

author = "Tim Lee and Ng, {Vincent To Yee} and David McLean and Andrew Coldman and Richard Gallagher and Joanna Sale",

year = "1995",

month = jan,

day = "1",

language = "English",

pages = "602--605",

booktitle = "IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings",

publisher = "IEEE",

address = "United States",

note = "Proceedings of the 1995 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing ; Conference date: 17-05-1995 Through 19-05-1995",

}

Lee, T, Ng, VTY, McLean, D, Coldman, A, Gallagher, R & Sale, J 1995, Multi-stage segmentation method for images of skin lesions. in IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings. IEEE, pp. 602-605, Proceedings of the 1995 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing, Victoria, BC, Canada, 17/05/95.

Multi-stage segmentation method for images of skin lesions. / Lee, Tim; Ng, Vincent To Yee; McLean, David et al.
IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings. IEEE, 1995. p. 602-605.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Multi-stage segmentation method for images of skin lesions

AU - Lee, Tim

AU - Ng, Vincent To Yee

AU - McLean, David

AU - Coldman, Andrew

AU - Gallagher, Richard

AU - Sale, Joanna

PY - 1995/1/1

Y1 - 1995/1/1

N2 - In this paper, we present an algorithm to identify skin lesions from the digitized colour images collected in a clinical study of malignant melanomas in early 1994. The algorithm consists of three steps: (1) a multi-stage median filter to suppress noise, (2) a process to compute the threshold values for the lesions and the background normal skin, and (3) a rule-based system to identify the lesions. Trying to make full use of the colour information, the first two steps of the algorithm work on the RGB planes. Then the three colour planes are re-combined before the lesions are identified in the last step.

AB - In this paper, we present an algorithm to identify skin lesions from the digitized colour images collected in a clinical study of malignant melanomas in early 1994. The algorithm consists of three steps: (1) a multi-stage median filter to suppress noise, (2) a process to compute the threshold values for the lesions and the background normal skin, and (3) a rule-based system to identify the lesions. Trying to make full use of the colour information, the first two steps of the algorithm work on the RGB planes. Then the three colour planes are re-combined before the lesions are identified in the last step.

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M3 - Conference article published in proceeding or book

SP - 602

EP - 605

BT - IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

PB - IEEE

T2 - Proceedings of the 1995 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing

Y2 - 17 May 1995 through 19 May 1995

ER -

Multi-stage segmentation method for images of skin lesions

Abstract

Conference

ASJC Scopus subject areas

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