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Proceedings Paper

Temporally optimized edge segmentation for mobile robotics applications
Author(s): Aymeric de Cabrol; Patrick J. Bonnin; Vincent Hugel; Kamel Bouchefra; Pierre Blazevic
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Paper Abstract

As an Edge may be an interesting image feature to extract for robotic visual tasks such as the 3D modelization of the environment of robots by stereovision, we propose in this paper a methodology to implement edge segmentation, then we apply it to design a Temporally Optimized Edge Segmentation for Mobile Robotics Applications. Using our methodology, we show how it is possible to reduce the duration of an edge detection operator from 100.62ms for the slower case to 10.8ms for the faster one. This represents a gain of nearly 90ms for the processing time, so nearly a factor of 10 for the speed up.

Paper Details

Date Published: 16 September 2005
PDF: 12 pages
Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 59091F (16 September 2005); doi: 10.1117/12.614548
Show Author Affiliations
Aymeric de Cabrol, L2TI-Lab. de Traitement et Transport de l'Information (France)
Patrick J. Bonnin, LRV-Lab. de Robotique de Versailles (France)
Vincent Hugel, LRV-Lab. de Robotique de Versailles (France)
Kamel Bouchefra, LRV-Lab. de Robotique de Versailles (France)
Pierre Blazevic, LRV-Lab. de Robotique de Versailles (France)


Published in SPIE Proceedings Vol. 5909:
Applications of Digital Image Processing XXVIII
Andrew G. Tescher, Editor(s)

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