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Comput Med Imaging Graph. 2003 Sep-Oct;27(5):387-96.

A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images.

Author information

1
Department of Electrical and Computer Engineering, University of Missouri-Rolla, 1870 Miner Circle, 127 Emerson Electric Company Hall, Rolla, MO 65409, USA. stanleyr@ece.umr.edu

Abstract

A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin lesions from malignant melanomas in dermatology clinical images. The approach utilizes a fuzzy set for benign skin lesion color, and alpha-cut and support set cardinality for quantifying a fuzzy ratio skin lesion color feature. Skin lesion discrimination results are reported for the fuzzy ratio and fusion with a previously determined percent melanoma color feature over a data set of 258 clinical images. For the fusion technique, alpha-cuts for the fuzzy ratio can be chosen to recognize over 93.30% of melanomas with approximately 15.67% false positive lesions.

PMID:
12821032
PMCID:
PMC3184460
[Indexed for MEDLINE]
Free PMC Article

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