title: Textural parameters based on the Spatial Gray Level Dependence Method applied to melanocytic nevi.
abstract: The purpose of this study is to evaluate the Spatial Gray Level Dependence Method (SGLDM) of texture analysis with respect to its ability to discriminate between melanocytic nevi and normal skin. Thirteen textural features based on the SGLDM were evaluated with respect to their relative sensitivities to both texture and tone. Ten features were found to be more sensitive to texture than tone and were selected for further study. Twenty-four digitized images of benign melanocytic nevi were obtained from six volunteers. Ten textural features were analyzed for each nevus and for surrounding sections of normal skin. Of these 10 features, 8 features can distinguish between textural properties of melanocytic nevi and surrounding skin.
authors.affiliation: Imaging Resource Center, University of Kansas School of Medicine, Kansas City 66103, USA.
authors.forename: T W
authors.initials: TW
authors.lastname: Pope
authors.forename: W L
authors.initials: WL
authors.lastname: Williams
authors.forename: S B
authors.initials: SB
authors.lastname: Wilkinson
authors.forename: M A
authors.initials: MA
authors.lastname: Gordon
mesh_terms: D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D009508:Nevus, Pigmented / Q000175:diagnosis*; D010781:Photography / Q000379:methods*; D012680:Sensitivity and Specificity; D012878:Skin Neoplasms / Q000175:diagnosis*; D044465:White People