An Industrial Vision System Recognising Overlapping Industrial Parts Using Grey Scale Images Under A Wide Range Of Lighting Conditions

Alan H. Bond; Roger S. Brown; Chris Rowbury

doi:10.1117/12.936650

9 January 1984 An Industrial Vision System Recognising Overlapping Industrial Parts Using Grey Scale Images Under A Wide Range Of Lighting Conditions

Alan H. Bond, Roger S. Brown, Chris Rowbury

Author Affiliations +

Proceedings Volume 0432, Applications of Digital Image Processing VI; (1984) https://doi.org/10.1117/12.936650
Event: 27th Annual Technical Symposium, 1983, San Diego, United States

Abstract

We describe the design of a computer vision system, which has been implemented and tested in software. The design is aimed at eventual hardware implementation using a video-stream processor approach, and to achieve recognition times of 1 or 2 seconds. The system uses 256x256@8 bit grey scale images of industrial parts which may overlap or touch. It is based upon Nevatia-Babu line extraction, the exhaustive matching of each pair of segments of each stored model separately and the weighing of evidence and extraction of identity and location of each part in the scene. The project is a university-industry collaboration, part of the British Government's SERC Robotics Initiative.

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Alan H. Bond, Roger S. Brown, and Chris Rowbury "An Industrial Vision System Recognising Overlapping Industrial Parts Using Grey Scale Images Under A Wide Range Of Lighting Conditions", Proc. SPIE 0432, Applications of Digital Image Processing VI, (9 January 1984); https://doi.org/10.1117/12.936650

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