Document Type
Article
Publication Title
Optical Engineering
Abstract
We use circular versions of advanced distortion-invariant filters such as optimal trade-off synthetic discriminant function and distance classifier correlation filters to obtain rotation invariance with an optical correlator. The filter noise performance is compared using a common measure of probability of error because the filters have different characteristics. The filters are real-valued so they can be implemented on a variety of SLMs. The circular symmetry of the filters significantly decreases their computational requirement.
First Page
1162
Last Page
1168
DOI
10.1117/1.602480
Publication Date
5-1-2000
Recommended Citation
Kozaitis, Samuel Peter and Thangwaritorn, Sila, "Circular optimal trade-off and distance-classifier correlation filters" (2000). Electrical Engineering and Computer Science Faculty Publications. 70.
https://repository.fit.edu/ces_faculty/70