Translator Disclaimer
16 September 2005 Temporally optimized edge segmentation for mobile robotics applications
Author Affiliations +
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aymeric de Cabrol, Patrick J. Bonnin, Vincent Hugel, Kamel Bouchefra, and Pierre Blazevic "Temporally optimized edge segmentation for mobile robotics applications", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 59091F (16 September 2005);


A multimodal vision sensor for autonomous driving
Proceedings of SPIE (October 06 2019)
Scene inspection using a robotic imaging system
Proceedings of SPIE (April 30 2003)
Data image fusion using combinatorial maps
Proceedings of SPIE (September 15 2005)

Back to Top