A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images

Stanley, R. Joe, Stoecker, William V., Moss, Randy H., Rabinovitz, Harold S., Cognetta, Armand B., Argenziano, Guiseppi and Soyer, H. Peter (2008) A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images. Skin Research and Technology, 14 4: 425-435. doi:10.1111/j.1600-0846.2008.00307.x

Author Stanley, R. Joe
Stoecker, William V.
Moss, Randy H.
Rabinovitz, Harold S.
Cognetta, Armand B.
Argenziano, Guiseppi
Soyer, H. Peter
Title A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images
Journal name Skin Research and Technology   Check publisher's open access policy
ISSN 0909-752X
Publication date 2008
Sub-type Article (original research)
DOI 10.1111/j.1600-0846.2008.00307.x
Volume 14
Issue 4
Start page 425
End page 435
Total pages 11
Editor J. Serup
Place of publication Copenhagen, Denmark
Publisher Wiley-Blackwell Munksgaard
Collection year 2009
Language eng
Subject C1
920117 Skin and Related Disorders
110304 Dermatology
Formatted abstract
Skin lesion color is an important feature for diagnosing malignant melanoma. New basis function correlation features are proposed for discriminating malignant melanoma lesions from benign lesions in dermoscopy images. The proposed features are computed based on correlating the luminance histogram of melanoma or benign labeled relative colors from a specified portion of the skin lesion with a set of basis functions. These features extend previously developed statistical and fuzzy logic-based relative color histogram analysis techniques for automated mapping of colors representative of melanoma and benign skin lesions from a training set of lesion images.

Using the statistical and fuzzy logic-based approaches for relative color mapping, melanoma and benign color features are computed over skin lesion region of interest, respectively. Luminance histograms are obtained from the melanoma and benign mapped colors within the lesion region of interest and are correlated with a set of basis functions to quantify the distribution of colors. The histogram analysis techniques and feature calculations are evaluated using a data set of 279 malignant melanomas and 442 benign dysplastic nevi images.

Experimental test results showed that combining existing melanoma and benign color features with the proposed basis function features found from the melanoma mapped colors yielded average correct melanoma and benign lesion discrimination rates as high as 86.45% and 83.35%, respectively.

The basis function features provide an alternative approach to melanoma discrimination that quantifies the variation and distribution of colors characteristic of melanoma and benign skin lesions.
© 2008 The Authors
Journal compilation © 2008 Blackwell Munksgaard

Keyword Image processing
Malignant melanoma
Fuzzy logic
Basis function
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
Excellence in Research Australia (ERA) - Collection
School of Medicine Publications
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 02 Apr 2009, 16:51:39 EST by Nicole Lin on behalf of School of Medicine