The Multi-Scale Veto Model: A Two-Stage Analog Network for Edge Detection and Image Reconstruction

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5981

Full metadata record

DC Field	Value	Language
dc.creator	Dron, Lisa	-
dc.date	2004-10-04T14:25:21Z	-
dc.date	2004-10-04T14:25:21Z	-
dc.date	1992-03-01	-
dc.date.accessioned	2013-10-09T02:42:11Z	-
dc.date.available	2013-10-09T02:42:11Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1320	-
dc.identifier	http://hdl.handle.net/1721.1/5981	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This 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.	-
dc.format	27 p.	-
dc.format	2710072 bytes	-
dc.format	2131529 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1320	-
dc.subject	edge detection	-
dc.subject	image reconstruction	-
dc.subject	analog VLSI	-
dc.subject	bandwidthscompression	-
dc.title	The Multi-Scale Veto Model: A Two-Stage Analog Network for Edge Detection and Image Reconstruction	-
Appears in Collections:	MIT Items

Files in This Item:

There are no files associated with this item.

DSpace JSPUI