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

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Department of Electrical and Computer Engineering, University of Missouri-Rolla, 1870 Miner Circle, 127 Emerson Electric Company Hall, Rolla, MO 65409, USA.

Published: March 2004

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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184460PMC
http://dx.doi.org/10.1016/s0895-6111(03)00030-2DOI Listing

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