Automated visual inspection: 1981 to 1987
Computer Vision, Graphics, and Image Processing
A note on the least squares fitting of ellipses
Pattern Recognition Letters
A survey of automated visual inspection
Computer Vision and Image Understanding
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
Machine vision based liquid level inspection system using ISEF edge detection technique
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Design of a wireless remote monitoring and object tracking robot
Robotics and Autonomous Systems
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In this paper, we describe a machine vision system for inspecting bearings, which are an important part of electro-mechanical kWh meters. The system consists of a personal computer with a flame grabber, a black and white progressive scan CCD camera, and a mechanical device with a stepper motor controlled by a special controller. The quality of a bearing depends on the eccentricity of the needle and the length of the needle that extends out of the cylinder. These two features are robustly and accurately determined by the successive application of the Hough transform (HT) and linear regression. The proposed machine vision system allows fast, accurate, reproducible, and robust 100% inspection of bearings of electro-mechanical kWh meters and as such may be a valuable tool for ensuring high-end-product quality.