You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
25 October 1993Optimal correlation with ternary phase-amplitude filters in a binary discrimination tree
Ternary Phase-Amplitude Filters (TPAFs) have several advantages in optical pattern recognition applications. These advantages include effective signal-to-noise and signal-to- clutter translation-invariant discrimination ability, relatively high optical efficiency, and implicitly efficient storage of the filters. However, TPAFs are sensitive to changes in scale and rotation. Thus, relatively large numbers of filters must be applied to uniquely identify a particular target image. This paper proposes the use of binary discrimination tree to significantly reduce the number of filter applications required to identify a target image in a real-time target recognition environment.
David L. Calloway
"Optimal correlation with ternary phase-amplitude filters in a binary discrimination tree", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); https://doi.org/10.1117/12.160287
The alert did not successfully save. Please try again later.
David L. Calloway, "Optimal correlation with ternary phase-amplitude filters in a binary discrimination tree," Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); https://doi.org/10.1117/12.160287