Paper
2 February 1998 High-speed optoelectric image processing unit for industrial inspection
Gang Cheng, Guofan Jin, Minxian Wu, Haisong Liu, Qingsheng He
Author Affiliations +
Proceedings Volume 3306, Machine Vision Applications in Industrial Inspection VI; (1998) https://doi.org/10.1117/12.301236
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gang Cheng, Guofan Jin, Minxian Wu, Haisong Liu, and Qingsheng He "High-speed optoelectric image processing unit for industrial inspection", Proc. SPIE 3306, Machine Vision Applications in Industrial Inspection VI, (2 February 1998); https://doi.org/10.1117/12.301236
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KEYWORDS
Image processing

Optical correlators

Computer programming

Digital filtering

Convolution

Inspection

Object recognition

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