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A machine vision system using fast texture analysis for automated visual inspection

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2 Author(s)
Mitchell, T.A. ; Dept. of Manuf. & Eng. Syst., Brunel Univ., Uxbridge, UK ; Sarhadi, M.

A system for the automated visual inspection of dry fiber composite lay-ups in a robotic assembly cell is presented. Boundary detection of a laid-up workplace is aided by a fast texture segmentation method based on convolution. An edge refinement stage is used to increase the accuracy of the detected boundary. A prestored reference template is used to measure deviation from ideal position

Published in:
Systems Engineering, 1992., IEEE International Conference on

Date of Conference: 17-19 Sep 1992

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