Detection Of Symmetric Junctions In Biological Images Using 2-D Steerable Wavelet Transforms

We present a method for designing steerable wavelets that can detect local centers of symmetry in images. Based on this design, we then propose an algorithm for estimating the locations and the orientations of M-fold symmetric junctions in biological micrographs. The analysis with 2-D steerable wavelets allows us to have detections at different scales and arbitrary orientations. Owing to the steering property of our wavelets the detection is fast and accurate. We provide experimental results on both synthetic images and biological micrographs to demonstrate the performance of the algorithm.


Published in:
2013 IEEE 10th International Symposium On Biomedical Imaging (ISBI), 1496-1499
Presented at:
IEEE 10th International Symposium on Biomedical Imaging - From Nano to Macro (ISBI), San Francisco, CA, APR 07-11, 2013
Year:
2013
Publisher:
New York, IEEE
ISBN:
978-1-4673-6455-3
Keywords:
Laboratories:




 Record created 2014-01-09, last modified 2018-03-17

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