Design of Steerable Wavelets to Detect Multifold Junctions

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 our 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.


Published in:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 25, 2, 643-657
Year:
2015
Publisher:
Piscataway, IEEE
ISSN:
1941-0042
Keywords:
Laboratories:




 Record created 2016-01-04, last modified 2018-03-18

External links:
Download fulltextURL
Download fulltextURL
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)