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26 August 1996 Enclosing shape boundaries using properties of contour
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Proceedings Volume 2785, Vision Systems: New Image Processing Techniques; (1996)
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adrian Preston and Peter Forte "Enclosing shape boundaries using properties of contour", Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996);


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