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dc.contributor.authorDron, Lisaen_US
dc.date.accessioned2004-10-04T14:25:21Z
dc.date.available2004-10-04T14:25:21Z
dc.date.issued1992-03-01en_US
dc.identifier.otherAIM-1320en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5981
dc.description.abstractThis paper presents the theory behind a model for a two-stage analog network for edge detection and image reconstruction to be implemented in VLSI. Edges are detected in the first stage using the multi-scale veto rule, which eliminates candidates that do not pass a threshold test at each of a set of different spatial scales. The image is reconstructed in the second stage from the brightness values adjacent to edge locations. The MSV rule allows good localization and efficient noise removal. Since the reconstructed images are visually similar to the originals, the possibility exists of achieving significant bandwidth compression.en_US
dc.format.extent27 p.en_US
dc.format.extent2710072 bytes
dc.format.extent2131529 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-1320en_US
dc.subjectedge detectionen_US
dc.subjectimage reconstructionen_US
dc.subjectanalog VLSIen_US
dc.subjectbandwidthscompressionen_US
dc.titleThe Multi-Scale Veto Model: A Two-Stage Analog Network for Edge Detection and Image Reconstructionen_US


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