Techniques for a structural analysis of dermatoscopic imagery

Techniques were developed for automated detection and characterization of dermatoscopic structures, including the pigment network and brown globules. These techniques incorporate algorithms for grayscale shape extraction based on differential geometry developed by Steger, a snake algorithm, and a mo...

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Bibliographic Details
Published in:Computerized medical imaging and graphics Vol. 22; no. 5; pp. 375 - 389
Main Authors: Fleming, Matthew G., Steger, Carsten, Zhang, Jun, Gao, Jianbo, Cognetta, Armand B., Pollak, llya, R. Dyer, Charles
Format: Journal Article
Language:English
Published: New York, NY Elsevier Ltd 01-09-1998
Elsevier Science
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Summary:Techniques were developed for automated detection and characterization of dermatoscopic structures, including the pigment network and brown globules. These techniques incorporate algorithms for grayscale shape extraction based on differential geometry developed by Steger, a snake algorithm, and a modification of the region competition strategy of Zhu and Yuille. A novel approach was developed for global segmentation of pigmented lesions, based on stabilized inverse diffusion equations. Procedures for detection of air bubbles and hairs in dermatoscopic images are also reported.
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ISSN:0895-6111
1879-0771
DOI:10.1016/S0895-6111(98)00048-2