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Proceedings Paper

Robotic Vision, Tray-Picking System Design Using Multiple, Optical Matched Filters
Author(s): Kenneth G. Leib; Jay C. Mendelsohn; Philip G. Grieve
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Paper Abstract

The optical correlator is applied to a robotic vision, tray-picking problem. Complex matched filters (MFs) are designed to provide sufficient optical memory for accepting any orientation of the desired part, and a multiple holographic lens (MHL) is used to increase the memory for continuous coverage. It is shown that with appropriate thresholding a small part can be selected using optical matched filters. A number of criteria are presented for optimizing the vision system. Two of the part-filled trays that Mendelsohn used are considered in this paper which is the analog (optical) expansion of his paper. Our view in this paper is that of the optical correlator as a cueing device for subsequent, finer vision techniques.

Paper Details

Date Published: 15 October 1986
PDF: 7 pages
Proc. SPIE 0638, Hybrid Image Processing, (15 October 1986); doi: 10.1117/12.964256
Show Author Affiliations
Kenneth G. Leib, Grumman Corporate Research Center (United States)
Jay C. Mendelsohn, Grumman Corporate Research Center (United States)
Philip G. Grieve, Grumman Corporate Research Center (United States)

Published in SPIE Proceedings Vol. 0638:
Hybrid Image Processing
David P. Casasent; Andrew G. Tescher, Editor(s)

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