Abstract
Correlation filtering methods are becoming increasingly popular for image recognition and location. The recent introduction of optimal tradeoff circular harmonic function filters allowed the user to specify the response of a correlation filter to in-plane rotation distortion. In this paper we introduce a new correlation filter design that can provide a user-specified response to in-plane scale distortion. The design is based on the Mellin radial harmonic (MRH) transform and incorporates multiple harmonics into the correlation filter for improved discrimination capability. Additionally, the filter design minimizes the average correlation energy in order to achieve sharp correlation peaks, and thus we refer to these filters as minimum average correlation energy Mellin radial harmonic (MACE-MRH) filters. We present underlying theory, a MACE-MRH filter design method, and numerical simulation results.
Original language | English |
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Pages (from-to) | 1794-1802 |
Number of pages | 9 |
Journal | IEEE Transactions on Image Processing |
Volume | 15 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2006 |
Externally published | Yes |
Funding
Manuscript received May 28, 2004; revised July 27, 2005. This work was supported in part by the Technology Support Working Group (TSWG) and in part by a fellowship from Northrop Grumman Corporation. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Ivan W. Selesnick.
Funders | Funder number |
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Northrop Grumman |
Keywords
- Correlation filters
- Mellin radial harmonic functions
- Pattern recognition
- Scale invariance