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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.
INDEX TERMS
Edge detection, filtering, projection angles, similarity measure.
CITATION
Saravana Kumar, Sim Heng Ong, Surendra Ranganath, Fook Tim Chew, "A Luminance- and Contrast-Invariant Edge-Similarity Measure", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 28, no. , pp. 2042-2048, December 2006, doi:10.1109/TPAMI.2006.236
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