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.
@INPROCEEDINGS(http://bigwww.epfl.ch/publications/puespoeki1402.html, 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})", YEAR="2014", editor="", volume="", series="", pages="", address="Saint-Jacut-de-la-Mer, French Republic", month="June 19-27,", organization="", publisher="", note="")
© 2014 IEEE. Personal use of this material is permitted. However, permission to
reprint/republish this material for advertising or promotional purposes or for creating
new collective works for resale or redistribution to servers or lists, or to reuse any
copyrighted component of this work in other works must be obtained from IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work.
Copyright and all rights therein are retained by authors or by other copyright holders.
All persons copying this information are expected to adhere to the terms and constraints
invoked by each author's copyright. In most cases, these works may not be reposted without
the explicit permission of the copyright holder.