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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.


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