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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Papari, G. Campisi, P. Petkov, N. |
| Copyright Year | 2010 |
| Description | Author affiliation: Johan Bernoulli Institute of Mathematics and Computing Science, University of Groningen, Netherlands (Papari, G.; Petkov, N.) || Dipartimento di Elettronica Applicata, Universita' degli Studi Roma Tre, Italy (Campisi, P.) |
| Abstract | We provide a closed form, both in the spatial and in the frequency domain, of a family of wavelets which arise from steering elongated Hermite-Gauss filters. These wavelets have interesting mathematical properties, as they form new dyadic families of eigenfunctions of the 2D Fourier transform, and generalize the well known Laguerre-Gauss harmonics. A special notation introduced here greatly simplifies our proof and unifies the cases of even and odd orders. Applying these wavelets to edge detection increases the performance of about 12.5% with respect to standard methods, in terms of the Pratt's figure of merit, both for noisy and noise-free input images. |
| Starting Page | 377 |
| Ending Page | 380 |
| File Size | 827837 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479924 |
| ISSN | 15224880 |
| e-ISBN | 9781424479948 |
| e-ISBN | 9781424479931 |
| DOI | 10.1109/ICIP.2010.5648793 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-26 |
| Publisher Place | Hong Kong |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Harmonic analysis Noise Polynomials Fourier transforms Wavelet transforms Convolution Steerable filters Edge features Fourier analysis |
| Content Type | Text |
| Resource Type | Article |
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