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

T. A. Mitchell, M. Sarhadi

Year
2003
Citations
6

Abstract

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Keywords

Artificial intelligenceComputer visionComputer scienceSegmentationVisual inspectionBoundary (topology)Convolution (computer science)PixelEnhanced Data Rates for GSM EvolutionEdge detection

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