Design of synthetic estimation filters using correlation energy minimization

Raghavan S. Embar; P. Karivaratha Rajan

doi:10.1117/12.169415

1 March 1994 Design of synthetic estimation filters using correlation energy minimization

Raghavan S. Embar, P. Karivaratha Rajan

Proceedings Volume 2237, Optical Pattern Recognition V; (1994) https://doi.org/10.1117/12.169415
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Raghavan S. Embar and P. Karivaratha Rajan "Design of synthetic estimation filters using correlation energy minimization", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); https://doi.org/10.1117/12.169415

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