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An adaptive visual planning system applied to the detection of faults in casting

Author(s): S. Panayiotou & A. Soper Abstract: Locating a fault or recognising an object in an image requires complex processing normally resulting in a sequence of stages: image enhancement, segmentation of areas of interest and detailed matching of the objects. Each of these stages is normally broken down further into a sequence of standard image processing primitives. Many of these primitives are now commercially available in the form of a library. The total number of such primitives is now large. To successfully locate an object a sequence of these primitives needs to be chosen and their associated parameters tuned. This paper presents a planning system for performing this task. Further the system can adapt to changes in the environment (e.g. lighting, noise and, object) efficiently through r... Pages: 8 Size: 603 kb Paper DOI: 10.2495/AI950181

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Download the Full Article This article is part of the WIT OpenView scheme and you can download the full text Adobe PDF article for FREE by clicking the 'Openview' icon to the right.