Artificially intelligent 3D industrial inspection system for metal inspection

Author

Panayiotou, Stephen ; Soper, Alan

Author_Institution

Vision Syst. Res. Lab., Greenwich Univ., London, UK

fYear

1994

fDate

21-24 Apr 1994

Firstpage

130

Lastpage

135

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation, 1994., Proceedings of the IEEE Southwest Symposium on

Conference_Location

Dallas, TX

Print_ISBN

0-8186-6250-6

Type

conf

DOI

10.1109/IAI.1994.336670

Filename

336670