Combined edge- and region-based method for range image segmentation

Visa Koivunen; Matti Pietikaeinen

doi:10.1117/12.25180

1 February 1991 Combined edge- and region-based method for range image segmentation

Visa Koivunen, Matti Pietikaeinen

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25180
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

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.

Citation Download Citation

Visa Koivunen and Matti Pietikaeinen "Combined edge- and region-based method for range image segmentation", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25180

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