A new algorithm for border description of polarized light surface microscopic images of pigmented skin lesions.
The aim of this study was to provide mathematical descriptors for the border of pigmented skin lesion images and to assess their efficacy for distinction among different lesion groups. New descriptors such as lesion slope and lesion slope regularity are introduced and mathematically defined. A new algorithm based on the Catmull-Rom spline method and the computation of the gray-level gradient of points extracted by interpolation of normal direction on spline points was employed. The efficacy of these new descriptors was tested on a data set of 510 pigmented skin lesions, composed by 85 melanomas and 425 nevi, by employing statistical methods for discrimination between the two populations.
Grana
Costantino
C
Department of Computer Engineering, University of Modena and Reggio Emilia, 41100 Modena, Italy.
Pellacani
Giovanni
G
Cucchiara
Rita
R
Seidenari
Stefania
S
D000465:Algorithms; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted; D008545:Melanoma / Q000145:classification / Q000473:pathology*; D008859:Microscopy, Polarization / Q000379:methods*; D009508:Nevus, Pigmented / Q000145:classification / Q000473:pathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012878:Skin Neoplasms / Q000145:classification* / Q000473:pathology*