NDLI: Detection of symmetric junctions in biological images using 2-D steerable wavelet transforms

Content Provider	IEEE Xplore Digital Library
Author	Puspoki, Z. Vonesch, C. Unser, M.
Copyright Year	2013
Description	Author affiliation: Biomed. Imaging Group, Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland (Puspoki, Z.; Vonesch, C.; Unser, M.)
Abstract	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.
Sponsorship	IEEE
Starting Page	1496
Ending Page	1499
File Size	1186780
Page Count	4
File Format	PDF
ISBN	9781467364560
ISSN	19457928
e-ISBN	9781467364553
DOI	10.1109/ISBI.2013.6556818
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Junctions Wavelet transforms Wavelet analysis Detectors Algorithm design and analysis Image edge detection wavelets symmetries steerability
Content Type	Text
Resource Type	Article

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Detection of symmetric junctions in biological images using 2-D steerable wavelet transforms