Title :
A machine vision system using fast texture analysis for automated visual inspection
Author :
Mitchell, T.A. ; Sarhadi, M.
Author_Institution :
Dept. of Manuf. & Eng. Syst., Brunel Univ., Uxbridge, UK
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
Keywords :
assembling; automatic optical inspection; computer vision; image segmentation; image texture; industrial robots; automated visual inspection; boundary detection; computer vision; convolution; dry fiber composite lay-ups; edge refinement; fast texture analysis; fast texture segmentation; machine vision system; robotic assembly cell; Convolution; Fabrics; Filter bank; Hardware; Image segmentation; Inspection; Machine vision; Position measurement; Robotic assembly; Smoothing methods;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236874
