We propose two different strategies to compute edges in the log-polar (cortical) domain. The space-variant processing is obtained by applying local operators (e.g. local derivative filters) directly on the logpolar images, or by embedding the same operators into the log-polar mapping, thus obtaining a cortical representation of the Cartesian features. The two approaches have been tested by taking into consideration three standard algorithms for edge detection (Canny, Marr-Hildreth and Harris), applied onto the BSDS500 dataset. Qualitative and quantitative comparisons show a first indication of the validity of the proposed approaches.

Local feature extraction in Log-Polar images

CHESSA, MANUELA;SOLARI, FABIO
2015-01-01

Abstract

We propose two different strategies to compute edges in the log-polar (cortical) domain. The space-variant processing is obtained by applying local operators (e.g. local derivative filters) directly on the logpolar images, or by embedding the same operators into the log-polar mapping, thus obtaining a cortical representation of the Cartesian features. The two approaches have been tested by taking into consideration three standard algorithms for edge detection (Canny, Marr-Hildreth and Harris), applied onto the BSDS500 dataset. Qualitative and quantitative comparisons show a first indication of the validity of the proposed approaches.
9783319232300
9783319232300
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/850997
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