Automated visual inspection: 1981 to 1987
Computer Vision, Graphics, and Image Processing
Cooling schedules for optimal annealing
Mathematics of Operations Research
Simulated annealing: theory and applications
Simulated annealing: theory and applications
A simple approach for the estimation of circular arc center and its radius
Computer Vision, Graphics, and Image Processing
Simulated annealing - an annotated bibliography
American Journal of Mathematical and Management Sciences
Machine vision in the 1990s: applications and how to get there
Machine Vision and Applications
Optimum circular fit to weighted data in multi-dimensional space
Pattern Recognition Letters
Circle fitting by linear and nonlinear least squares
Journal of Optimization Theory and Applications
A stochastic optimization approach for roundness measurements
Pattern Recognition Letters
A three-dimensional automated visual inspection system for SMT assembly
Computers and Industrial Engineering
Applied iterative closest point algorithm to automated inspection of gear box tooth
Computers and Industrial Engineering
Applying particle swarm optimization algorithm to roundness measurement
Expert Systems with Applications: An International Journal
Measure of circularity for parts of digital boundaries and its fast computation
Pattern Recognition
Electric contacts inspection using machine vision
Image and Vision Computing
Web-based algorithm for cylindricity evaluation using support vector machine learning
Computers and Industrial Engineering
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Fairly extensive research has been made in the area of roundness verifications. However, previous studies concentrate on evaluating roundness errors for parts with complete circles. In real world manufacturing environments, there exist some routine industrial parts with discontinuous perimeters, such as circular parts with keyways and flats or parts with partial arcs. With the advent of low-cost computational hardware, machine vision systems have emerged as a financially viable device in automated manufacturing systems. This paper presents an intelligent heuristic for roundness assessments using machine vision for discontinuous perimeters. The proposed intelligent heuristic incorporates the simulated annealing (SA) and outlier analysis to verify roundness errors according to the ANSI B89.3.1-1972 standard [Measurement of Out-of-Roundness, American Society of Mechanical Engineers, New York, 1972]. Several objects with discontinuous perimeters are used as test examples to verify the viability of the developed vision-based measurement system. Experimental results show the proposed approach is equitable for machine vision applications, and can realize the automation of roundness measurements.