Performance of optimal trade-off and distance-classifier circular filters for rotation invariance

Samuel Peter Kozaitis; Sila Thangwaritorn

doi:10.1117/12.319425

25 August 1998 Performance of optimal trade-off and distance-classifier circular filters for rotation invariance

Samuel Peter Kozaitis, Sila Thangwaritorn

Proceedings Volume 3388, Advances in Optical Information Processing VIII; (1998) https://doi.org/10.1117/12.319425
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

We evaluated the performance of circular optical trade-off SDF (OTSDF) and distance classifier correlation filters (DCCFs) as rotation-invariant correlation filters. Because the filters are designed using different parameters we compared the filter's performance in terms of an equivalent effect of probability of error. The use of OTSDF and DCCF filters as circular filters allows their calculation to be greatly simplified when compared to using rotated views of an object to create filters. We found that both types of filters can be used for rotation-invariant object recognition in a noisy environment. In addition, the filters generated were real-valued so they may be implemented on a variety of spatial light modulators.

Citation Download Citation

Samuel Peter Kozaitis and Sila Thangwaritorn "Performance of optimal trade-off and distance-classifier circular filters for rotation invariance", Proc. SPIE 3388, Advances in Optical Information Processing VIII, (25 August 1998); https://doi.org/10.1117/12.319425

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KEYWORDS

Image filtering

Signal to noise ratio

Detection and tracking algorithms

Optical filters

Fourier transforms

Tolerancing

Genetic algorithms

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