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Proceedings Paper

Hybrid pattern recognition system for the robotic vision
Author(s): Yulin Li; Mingjun M. Zhao; Li Zhao
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Paper Abstract

The applications and development of hybrid image processing have attracted significant attention in recent. This paper describes a multifunction optoelectronic hybrid processor that can inplemente several operations . This new system is appropriate for real-time automatic pattern recognition. An effective approach and architecture are provided for the robotic vision. In the system utilizing the joint transform techniques and the resulting Fourier transform of the object image and reference image was detected by the CCD camera and then sent it into digital image preprocessor . At the same time Fourier spectrum of the edge-enhanced images are obtained pass coherent optical image processing through a liquid crystal spatial light modulator as a real-time interface device ( a incoherent-to-coherent irrge flCC ) . Thus classification and correlation of the object pattern are carried out by using both of digital and analogy inge processing. The preliminary experimental results are given. 1 .

Paper Details

Date Published: 1 March 1991
PDF: 6 pages
Proc. SPIE 1385, Optics, Illumination, and Image Sensing for Machine Vision V, (1 March 1991); doi: 10.1117/12.25358
Show Author Affiliations
Yulin Li, Xian Institute of Optics and Precision Mechanics (China)
Mingjun M. Zhao, Xian Institute of Optics and Precision Mechanics (China)
Li Zhao, Xian Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 1385:
Optics, Illumination, and Image Sensing for Machine Vision V
Donald J. Svetkoff; Kevin G. Harding; Gordon T. Uber; Norman Wittels, Editor(s)

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