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Optical Engineering

Edge-based segmentation of range images: integrating roof and step edges
Author(s): Kil Moo Lee; Rae-Hong Park; Jong Soo Choi
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Paper Abstract

We investigate edge extraction and the segmentation of range images. We first discuss problems that arise in conventional region-based and edge-based segmentation methods, then we propose a new edge-based segmentation algorithm. In the proposed algorithm, we extract edge contours by using the Gaussian filter and directional derivatives and segment a range image by integrating detected roof and step edges. Thus the correspondence between step and roof edges is not necessary. Computer simulations with several range images show that the proposed edge-based range image segmentation method is simpler and yields better performance than the conventional methods.

Paper Details

Date Published: 1 June 1996
PDF: 9 pages
Opt. Eng. 35(6) doi: 10.1117/1.600748
Published in: Optical Engineering Volume 35, Issue 6
Show Author Affiliations
Kil Moo Lee, Sogang Univ. (South Korea)
Rae-Hong Park, Sogang Univ. (South Korea)
Jong Soo Choi, Chung-Ang Univ. (South Korea)


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