Paper
1 February 1991 New scheme for real-time visual inspection of bearing roller
Yu Zhang, Wu Xian, Ping Li, Ernest L. Hall, James Zhen Tu
Author Affiliations +
Proceedings Volume 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition; (1991) https://doi.org/10.1117/12.25310
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
This Paper introduces a self—adaptive and training concepts to improve the speed of slow visual inspection system to near one order of magnitude. In this scheme, the system is designed to work in three modes : Mode I (fast inspecti on) ,Mode I I (slow inspecti on) and Mode I I I . The first two modes automatical ly shi ft to each other depending on the condi tion of rol 1 er surface . Mode I I I is for automatic optimal binary threshold selection of defect image, in which a bifurcated searching algorithm is employed. At last, an algorithm for dot group pattern recognition of roller defects is discussed.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu Zhang, Wu Xian, Ping Li, Ernest L. Hall, and James Zhen Tu "New scheme for real-time visual inspection of bearing roller", Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); https://doi.org/10.1117/12.25310
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KEYWORDS
Inspection

Line edge roughness

Optical inspection

Image processing

Binary data

Optical character recognition

Pattern recognition

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