ISSN:
1433-755X
Keywords:
Key words: Automatic visual inspection; Bayes classification; Ellipse detection; Identification of clusters; Neural networks; Perceptual organisation; Pulp and paper industry
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract: Detection of elliptical shapes is of extreme importance in several computer vision applications. In this paper a new method for irregular elliptical shapes localisation in multi-connected regions is described. This method first computes a set of elementary arc segments, which is then aggregated using geometrical decision criteria and a posteriori aggregation probabilities obtained from a neural network for Bayes classification. To identify and characterise the elementary arc segments, a cluster identification, a contour grouping strategy and some extensions to Fitzgibbon’s ellipse fitting method are introduced. These methods are applied successfully in the set-up of an automatic lime granule inspection system. The algorithm has proven to be very robust, since it is able to correctly detect elliptical shapes even when noisy data are present.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/s100440050040
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