Hybrid pattern recognition system for the robotic vision

Yulin Li; Mingjun M. Zhao; Li Zhao

doi:10.1117/12.25358

1 March 1991 Hybrid pattern recognition system for the robotic vision

Yulin Li, Mingjun M. Zhao, Li Zhao

Proceedings Volume 1385, Optics, Illumination, and Image Sensing for Machine Vision V; (1991) https://doi.org/10.1117/12.25358
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

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 .

Citation Download Citation

Yulin Li, Mingjun M. Zhao, and Li Zhao "Hybrid pattern recognition system for the robotic vision", Proc. SPIE 1385, Optics, Illumination, and Image Sensing for Machine Vision V, (1 March 1991); https://doi.org/10.1117/12.25358

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