A Luminance- and Contrast-Invariant Edge-Similarity Measure

Author

Kumar, Saravana ; Ong, Sim Heng ; Ranganath, Surendra ; Chew, Fook Tim

Author_Institution

Dept. of Electr. & Comput. Eng., National Univ. of Singapore

Volume

28

Issue

12

fYear

2006

Firstpage

2042

Lastpage

2048

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

Keywords

FIR filters; edge detection; FIR edge filters; contrast; contrast-invariant edge-similarity measure; edge localization; edge-detection; hyperbolic tangent profiles; luminance; projection angles; Detectors; Filtering; Finite impulse response filter; Gabor filters; Goniometers; Image converters; Image edge detection; Lighting; Noise measurement; Noise robustness; Edge detection; filtering; projection angles; similarity measure.; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Light; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2006.236

Filename

1717464