Paper
11 April 1988 Influence Of The Choice Of Expansion Center On The Rotationally Invariant Correlation Filters Performance
S Bosch, J Campos, I Juvells, S Vallmitjana
Author Affiliations +
Proceedings Volume 0860, Real-Time Image Processing: Concepts and Technologies; (1988) https://doi.org/10.1117/12.943384
Event: 1987 Symposium on the Technologies for Optoelectronics, 1987, Cannes, France
Abstract
During the past few years new techniques based on circular harmonic expansion have been introduced in the field of pattern recognition and some important advances have been achie-ved recently. Whether using single circular harmonic filters or using multimode filters it is necessary to choose a geometrical center for the harmonic expansion. We show that this choice results in different performances when the designed filter is used, both with respect to the height of the correlation peak and also with respect to the discrimination capability between simi-lar inputs. For the single harmonic filter, we study the influence on the performance of the method of the following factors: the choice of the harmonic order and the choice of expansion cen-ter used. For multimode filters, a possible real time method for rotationally invariant pattern recognition can be developed on the basis of the detection of N correlation plane intensity matrix at the same time the filter spins a whole turn. In this case, the dependence on the choice of expansion center and the minimum number N of correlations for a good detection is shown.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S Bosch, J Campos, I Juvells, and S Vallmitjana "Influence Of The Choice Of Expansion Center On The Rotationally Invariant Correlation Filters Performance", Proc. SPIE 0860, Real-Time Image Processing: Concepts and Technologies, (11 April 1988); https://doi.org/10.1117/12.943384
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KEYWORDS
Image filtering

Curium

Pattern recognition

Real time image processing

Target detection

Image processing

Target recognition

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