Robotic Vision, Tray-Picking System Design Using Multiple, Optical Matched Filters

Kenneth G. Leib; Jay C. Mendelsohn; Philip G. Grieve

doi:10.1117/12.964256

15 October 1986 Robotic Vision, Tray-Picking System Design Using Multiple, Optical Matched Filters

Kenneth G. Leib, Jay C. Mendelsohn, Philip G. Grieve

Proceedings Volume 0638, Hybrid Image Processing; (1986) https://doi.org/10.1117/12.964256
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States

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.

Citation Download Citation

Kenneth G. Leib, Jay C. Mendelsohn, and Philip G. Grieve "Robotic Vision, Tray-Picking System Design Using Multiple, Optical Matched Filters", Proc. SPIE 0638, Hybrid Image Processing, (15 October 1986); https://doi.org/10.1117/12.964256

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