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Proceedings Paper

Design of synthetic estimation filters using correlation energy minimization
Author(s): Raghavan S. Embar; P. Karivaratha Rajan
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Paper Abstract

Synthetic estimation filters (SEFs) have been found useful for the determination of distortion parameters, such as angle of rotation of objects from their images. Previous SEFs, designed using matched and phase only filters required a knowledge of exact location of the object to produce a reasonable accuracy of estimation. To overcome the limitation, use of MACE filters is proposed for the construction of synthetic estimation filters. As the MACE filters are designed to have their peaks at the origin of the correlation plane, detection of the peak can be done without a knowledge of the exact position of the object. Computer simulations are used to study the performance of MACE-SEFs. It is found that significant errors result at rotation angle which are not part of the training set. An improved linearity leading to an increase in accuracy was realized when the MINCE concept was used in place of the MACE concept for the design of the SEFs.

Paper Details

Date Published: 1 March 1994
PDF: 12 pages
Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); doi: 10.1117/12.169415
Show Author Affiliations
Raghavan S. Embar, Tennessee Technological Univ. (United States)
P. Karivaratha Rajan, Tennessee Technological Univ. (United States)


Published in SPIE Proceedings Vol. 2237:
Optical Pattern Recognition V
David P. Casasent; Tien-Hsin Chao, Editor(s)

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