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231224s2016 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2015.2507981
|2 doi
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|a eng
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|a Püspöki, Zsuzsanna
|e verfasserin
|4 aut
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|a Design of Steerable Wavelets to Detect Multifold Junctions
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|c 2016
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 27.05.2016
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|a Date Revised 06.01.2016
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a We propose a framework for the detection of junctions in images. Although the detection of edges and key points is a well examined and described area, the multiscale detection of junction centers, especially for odd orders, poses a challenge in pattern analysis. The goal of this paper is to build optimal junction detectors based on 2D steerable wavelets that are polar-separable in the Fourier domain. The approaches we develop are general and can be used for the detection of arbitrary symmetric and asymmetric junctions. The backbone of our construction is a multiscale pyramid with a radial wavelet function where the directional components are represented by circular harmonics and encoded in a shaping matrix. We are able to detect M -fold junctions in different scales and orientations. We provide experimental results on both simulated and real data to demonstrate the effectiveness of the algorithm
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Uhlmann, Virginie
|e verfasserin
|4 aut
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|a Vonesch, Cédric
|e verfasserin
|4 aut
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|a Unser, Michael
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 25(2016), 2 vom: 18. Feb., Seite 643-57
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|x 1941-0042
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|g volume:25
|g year:2016
|g number:2
|g day:18
|g month:02
|g pages:643-57
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