title: Detecting the pigment network in dermoscopy images: a directional approach.
abstract: Several algorithms have been recently proposed for the analysis of dermoscopy images and the detection of melanomas. However, the pigment network is not considered in most of these works, although this cue plays a major role in clinical diagnosis routines. This paper proposes an algorithm for the detection of the pigment network. The algorithm is based on a bank of directional filters (difference of Gaussians) and explores color, directionality and topological properties of the network.
authors.affiliation: Institute for Systems and Robotics, Instituto Superior Tecnico, Portugal. jsm@isr.ist.utl.pt
authors.forename: Catarina
authors.initials: C
authors.lastname: Barata
authors.forename: Jorge S
authors.initials: JS
authors.lastname: Marques
authors.forename: Jorge
authors.initials: J
authors.lastname: Rozeira
mesh_terms: D000465:Algorithms; D003124:Colorimetry / Q000379:methods*; D046169:Dermoscopy / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012867:Skin / Q000473:pathology*; D012878:Skin Neoplasms / Q000473:pathology*; D012880:Skin Pigmentation