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Proceedings Paper

Combined edge- and region-based method for range image segmentation
Author(s): Visa Koivunen; Matti Pietikaeinen
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Paper Abstract

This paper introduces a method for range image segmentation which combines the useful properties of edge and region-based approaches. In the region-based approach the partial derivatives are first estimated at every point on the image by fitting a quadnc model to a small neighborhood of pixels. Pixels are classified into 10 surface types according to the spatial properties in the neighborhood of each pixel. Then pixels of the same surface type are grouped into geometrically coherent regions. Edge detection employs a two stage method which detects both step and roof edges. Finally the edge and region-based segmentations are combined to form the final segmentation and a set of geometrical features is calculated for each region to be used in further analysis.

Paper Details

Date Published: 1 February 1991
PDF: 12 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25180
Show Author Affiliations
Visa Koivunen, Univ. of Oulu (Finland)
Matti Pietikaeinen, Univ. of Oulu (Finland)


Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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