Template-Free Wavelet-Based Detection of Local Symmetries

Our goal is to detect and group different kinds of local symmetries in images in a scale- and rotation-invariant way. We propose an efficient wavelet-based method to determine the order of local symmetry at each location. Our algorithm relies on circular harmonic wavelets which are used to generate steerable 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. We provide experimental results on synthetic images, biological micrographs, and electron-microscopy images to demonstrate the performance of the algorithm.


Published in:
IEEE Transactions on Image Processing, 24, 10, 3009–3018
Year:
2015
Publisher:
Piscataway, IEEE
Keywords:
Laboratories:




 Record created 2015-07-28, last modified 2018-09-13

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