title: Techniques for a structural analysis of dermatoscopic imagery.
abstract: 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.
authors.affiliation: Department of Dermatology, Medical College of Wisconsin and Zablocki VA Hospital, Milwaukee, USA.
authors.forename: M G
authors.initials: MG
authors.lastname: Fleming
authors.forename: C
authors.initials: C
authors.lastname: Steger
authors.forename: J
authors.initials: J
authors.lastname: Zhang
authors.forename: J
authors.initials: J
authors.lastname: Gao
authors.forename: A B
authors.initials: AB
authors.lastname: Cognetta
authors.forename: I
authors.initials: I
authors.lastname: Pollak
authors.forename: C R
authors.initials: CR
authors.lastname: Dyer
mesh_terms: D000388:Air; D000465:Algorithms; D016477:Artifacts; D003936:Diagnosis, Computer-Assisted; D006197:Hair / Q000033:anatomy & histology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008853:Microscopy; D010859:Pigmentation Disorders / Q000473:pathology; D012867:Skin / Q000033:anatomy & histology*; D012880:Skin Pigmentation