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Proceedings Paper

Detection Of Rotational And Scale Varying Objects With A Programmable Joint Transform Correlator
Author(s): Francis T. S. Yu; Xiaoyang Li; Eddy Tam; Suganda Jutamulia; Don A. Gregory
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Paper Abstract

The use of joint transform correlators for pattern recognition has the advantages such as low resolution requirement of the spatial light modulators and easy optical implementation. Based on a programmable JTC architecture, we propose two methods to detect objects under rotation or scale change. Rotation invariant pattern recognition can be achieved by writing the real-value circular harmonic expansion of an image function as reference. By using multiple images, each rotated by a certain angle or at different sizes as composite reference in a JTC, objects of different orientations or sizes can be detected.

Paper Details

Date Published: 29 June 1989
PDF: 10 pages
Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); doi: 10.1117/12.951528
Show Author Affiliations
Francis T. S. Yu, The Pennsylvania State University (United States)
Xiaoyang Li, The Pennsylvania State University (United States)
Eddy Tam, The Pennsylvania State University (United States)
Suganda Jutamulia, Quantex Corporation (United States)
Don A. Gregory, U.S. Army Missile Command (United States)

Published in SPIE Proceedings Vol. 1053:
Optical Pattern Recognition
Hua-Kuang Liu, Editor(s)

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