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Proceedings Paper

High-speed optoelectric image processing unit for industrial inspection
Author(s): Gang Cheng; Guofan Jin; Minxian Wu; Haisong Liu; Qingsheng He
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Paper Abstract

In this paper a High-speed Opto-electric Image Processing Unit (HSOEIPU) based on an incoherent correlator is constructed, which can do two main processing works. One is digital filtering; the other is object recognition. Using HSOEIPU a Lapalace filter is realized to extract the edge characteristic from the images. Then the preprocessed images are sent into the object recognition unit for identifying the important areas or targets. A novel template-matching method is proposed for gray-tone image recognition. A changeable cycle-encoding method is introduced to realize the fuzzy relation pixel-matching on a correlator structure. The system has good fault-tolerance ability for rotation distortion, gaussian noise disturbance or information losing. In the experiments photographs of workpieces are sent into HSOEIPU for processing.

Paper Details

Date Published: 2 February 1998
PDF: 9 pages
Proc. SPIE 3306, Machine Vision Applications in Industrial Inspection VI, (2 February 1998); doi: 10.1117/12.301236
Show Author Affiliations
Gang Cheng, Tsinghua Univ. (United States)
Guofan Jin, Tsinghua Univ. (China)
Minxian Wu, Tsinghua Univ. (China)
Haisong Liu, Tsinghua Univ. (United States)
Qingsheng He, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 3306:
Machine Vision Applications in Industrial Inspection VI
A. Ravishankar Rao; Ning S. Chang, Editor(s)

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