title: A luminance- and contrast-invariant edge-similarity measure.
abstract: A novel similarity measure for edge-detection that is robust to varying luminance and contrast is presented. It incorporates a regularization term and employs directional FIR edge filters with hyperbolic tangent profiles to ensure improved noise performance and edge localization compared to classical methods.
authors.affiliation: Department of Electrical and Computer Engineering, National University of Singapore, Singapore.
authors.forename: Saravana
authors.initials: S
authors.lastname: Kumar
authors.forename: Sim Heng
authors.initials: SH
authors.lastname: Ong
authors.forename: Surendra
authors.initials: S
authors.lastname: Ranganath
authors.forename: Fook Tim
authors.initials: FT
authors.lastname: Chew
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D008027:Light; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique