2-D edge feature extraction to subpixel accuracy using the generalized energy approach Kisworo, Marsudi, Venkatesh, Svetha and West, Geoff 1991, 2-D edge feature extraction to subpixel accuracy using the generalized energy approach, in TENCON'91 : Proceedings of IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems, IEEE, [Piscataway, N. J.], pp. 344-348. Attached Files Name Description MIMEType Size Downloads venkatesh-2dedge-1991.pdf Published version application/pdf 450.87KB 292 Title 2-D edge feature extraction to subpixel accuracy using the generalized energy approach Author(s) Kisworo, Marsudi Venkatesh, Svetha orcid.org/0000-0001-8675-6631 West, Geoff Conference name International Conference on EC3-Energy, Computer, Communication and Control Systems (1991 : New Delhi, India) Conference location New Delhi, India Conference dates 28-30 Aug. 1991 Title of proceedings TENCON'91 : Proceedings of IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems Editor(s) [Unknown] Publication date 1991 Conference series International Conference on EC3-Energy, Computer, Communication and Control Systems Start page 344 End page 348 Total pages 5 Publisher IEEE Place of publication [Piscataway, N. J.] Keyword(s) subpixel level two dimensional edge feature extraction generel edge model mage Summary Precision edge feature extraction is a very important step in vision, Researchers mainly use step edges to model an edge at subpixel level. In this paper we describe a new technique for two dimensional edge feature extraction to subpixel accuracy using a general edge model. Using six basic edge types to model edges, the edge parameters at subpixel level are extracted by fitting a model to the image signal using least-.squared error fitting technique. Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. ISBN 0780305396 9780780305397 Language eng Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Copyright notice ©1991, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30044847 Document type: Conference Paper Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 01 May 2012, 11:02:12 EST Fri, 04 May 2012, 15:47:18 EST Fri, 04 May 2012, 15:49:12 EST Mon, 07 May 2012, 14:05:57 EST Tue, 24 Jun 2014, 08:47:43 EST Wed, 06 Aug 2014, 15:58:33 EST Tue, 06 Sep 2016, 18:52:21 EST Tue, 05 Dec 2017, 12:32:05 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 343 Abstract Views, 287 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:02:12 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.