9 June 1986 Using Neighborhood Operators To Detect Graspable Inside And Outside Edges
Author Affiliations +
Proceedings Volume 0595, Computer Vision for Robots; (1986) https://doi.org/10.1117/12.952241
Event: 1985 International Technical Symposium/Europe, 1985, Cannes, France
A common industrial problem is to load and unload process machinery. A feasible solution to a large subset of this problem has been demonstrated using sensor-equipped robot systems. These systems combine both remotely and locally sensed data with heuristic analysis algorithms. These algorithms can successfully direct a robot to acquire a part from a jumbled heap. This paper presents a heuristic vision analysis algorithms which are based on neighborhood operators. The algorithms combine global characteristics and local matches to graspable inside or outside edge pairs, the pattern of a holdsite. The properties inherent to neighborhood operators permit smoothed local edge information to be extracted from images of the target class of parts.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert B. Kelley, Robert B. Kelley, Philip R. Gouin, Philip R. Gouin, } "Using Neighborhood Operators To Detect Graspable Inside And Outside Edges", Proc. SPIE 0595, Computer Vision for Robots, (9 June 1986); doi: 10.1117/12.952241; https://doi.org/10.1117/12.952241


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