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Proceedings Paper

Image centering in a joint transform correlator with a phase-encoded input
Author(s): Leonid I. Muravsky
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Paper Abstract

The model of the robot vision system for image centering contained the joint transform correlator (JTC) with a phase-encoded input is proposed. The algorithm for an image centering and tracking realized with the robot vision system is considered. The principle of the image tracing algorithm is discussed. The theoretical analysis of the proposed system for the phase-encoded binary rectangular image entered to the JTC input is carried out. Equations for calculation the autocorrelation peaks and differential signal at the JTC output are obtained. Dependencies between geometric parameters of the moving phase-encoded input image and output signal magnitudes are found. Possibilities of the proposed system for a scale- and rotation-invariant object centering are briefly considered.

Paper Details

Date Published: 20 October 1997
PDF: 9 pages
Proc. SPIE 3238, Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for Image Processing, (20 October 1997); doi: 10.1117/12.284789
Show Author Affiliations
Leonid I. Muravsky, Institute of Physics and Mechanics (Ukraine)


Published in SPIE Proceedings Vol. 3238:
Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for Image Processing
Simon B. Gurevich; Roman S. Batchevsky; Leonid I. Muravsky, Editor(s)

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