A luminance- and contrast-invariant edge-similarity measure.
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.
Kumar
Saravana
S
Department of Electrical and Computer Engineering, National University of Singapore, Singapore.
Ong
Sim Heng
SH
Ranganath
Surendra
S
Chew
Fook Tim
FT
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