Title :
Artificially intelligent 3D industrial inspection system for metal inspection
Author :
Panayiotou, Stephen ; Soper, Alan
Author_Institution :
Vision Syst. Res. Lab., Greenwich Univ., London, UK
Abstract :
Industrial inspection systems have been in use for some time now. However to-date these systems have been built specifically for the application in which it will function. This has lead to such systems becoming obsolete if the manufacturing process changes. Such systems also relied on the programmer´s competence in selecting appropriate algorithms to carry out the tasks of image processing and segmentation. This paper presents a system that is adaptable for many inspection tasks and generic in nature. It selects algorithms automatically depending on the task at hand and the domain knowledge given
Keywords :
automatic optical inspection; computer vision; image segmentation; knowledge based systems; metallurgical industries; 3D industrial inspection system; adaptive image analysis system; algorithms; artificial intelligence; domain knowledge; image segmentation; metal inspection; Adaptive systems; Artificial intelligence; Image databases; Image edge detection; Image processing; Image segmentation; Image sequence analysis; Inspection; Machine vision; Metals industry;
Conference_Titel :
Image Analysis and Interpretation, 1994., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
Dallas, TX
Print_ISBN :
0-8186-6250-6
DOI :
10.1109/IAI.1994.336670
