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Local Symmetry Assessment in Bioimages

Z. Püspöki, M. Unser

Eleventh IEEE EMBS International Summer School on Biomedical Imaging, Saint-Jacut-de-la-Mer, French Republic, June 19-27, 2014.

We propose an efficient wavelet-based method to detect and classify different kinds of local symmetries in biological images in a scale- and rotation-invariant way. Our algorithm relies on circular harmonic wavelets which are used to generate different wavelet channels corresponding to different symmetry orders. To give a measure of local symmetry we use the F-test to examine the distribution of the energy across different channels.

AUTHOR="P{\"{u}}sp{\"{o}}ki, Z. and Unser, M.",
TITLE="Local Symmetry Assessment in Bioimages",
BOOKTITLE="Eleventh {IEEE} {EMBS} International Summer School on
        Biomedical Imaging ({ISSBI'14})",
address="Saint-Jacut-de-la-Mer, French Republic",
month="June 19-27,",

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