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 log-polar 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.
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Chessa, M., Solari, F. (2015). Local Feature Extraction in Log-Polar Images. In: Murino, V., Puppo, E. (eds) Image Analysis and Processing — ICIAP 2015. ICIAP 2015. Lecture Notes in Computer Science(), vol 9279. Springer, Cham. https://doi.org/10.1007/978-3-319-23231-7_37
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