1 March 1992 AGUILA: an automatic tube detection system
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Abstract
This paper discusses a system which uses machine vision algorithms for the detection of tubes in an extremely `noisy' industrial environment. The heart of the algorithm consists of sampling of the image in predefined sparse bands perpendicular to the likely orientation of the tubes followed by the application of a normalized correlation as a detection filter over these bands. After assigning a reliability factor to each local maxima of the correlation function, these points are then mapped to the Hough space to determine the equations of the midlines of the tubes. Given these equations, the number of tubes and any positional anomalies are reported.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Omid Mohtadi, Felix Safar, Jorge L. C. Sanz, "AGUILA: an automatic tube detection system", Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); doi: 10.1117/12.58596; https://doi.org/10.1117/12.58596
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KEYWORDS
Machine vision

Image filtering

Reliability

Evolutionary algorithms

Robotics

Artificial intelligence

Correlation function

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