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Proceedings Paper

Enclosing shape boundaries using properties of contour
Author(s): Adrian Preston; Peter Forte
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Paper Abstract

A complex problem in computer vision systems is the incorrect description of objects due to dropouts along their contour. These dropouts can be caused by three factors: noise, or contrast problems; occluding shapes; perceived contour. A widely used shape representation technique is to represent the contour of an image as a sequence of parametric splines. In this paper we present one such technique, parametric spiral arcs, and argue that it displays properties desirable for vision systems and in particular, the spline-based contour representation aids contour completion. We present an algorithm which analyzes the dropout due to noise or occlusion and suggests likely connections, using information contained in the contour of a shape, and using perceptive properties of contour.

Paper Details

Date Published: 26 August 1996
PDF: 8 pages
Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); doi: 10.1117/12.248545
Show Author Affiliations
Adrian Preston, Kingston Univ. (United Kingdom)
Peter Forte, Kingston Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 2785:
Vision Systems: New Image Processing Techniques
Philippe Refregier, Editor(s)

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