Fast and efficient colour inspection using sets of ellipsoidal regions

Authors:
Reinhold Huber-Mörk;Maike Löhndorf;Dorothea Heiss-Czedik;Konrad Mayer;Harald Penz;Daniel Soukup
Affiliations:
Austrian Research Centers GmbH-ARC smart systems Division, Business Unit High Performance Image Processing, Seibersdorf, Austria;Austrian Research Centers GmbH-ARC smart systems Division, Business Unit High Performance Image Processing, Seibersdorf, Austria;Austrian Research Centers GmbH-ARC smart systems Division, Business Unit High Performance Image Processing, Seibersdorf, Austria;Austrian Research Centers GmbH-ARC smart systems Division, Business Unit High Performance Image Processing, Seibersdorf, Austria;Austrian Research Centers GmbH-ARC smart systems Division, Business Unit High Performance Image Processing, Seibersdorf, Austria;Austrian Research Centers GmbH-ARC smart systems Division, Business Unit High Performance Image Processing, Seibersdorf, Austria
Venue:
Machine Graphics & Vision International Journal
Year:
2009

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Abstract

This paper addresses inspection of d-dimensional data using ellipsoidal decision regions for problems in automated visual inspection. For the special case of d = 3, the proposed method is researched in detail with respect to efficient real-time operation and compact storage of ellipsoid parameters. In order to reduce storage requirements, a method based on clustering the parameters describing the shapes of ellipsoids is proposed. Results are presented for colour images used in the quality analysis step in banknote printing. Additionally, estimations of computational effort and storage requirements are provided.