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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.

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Title 2-D edge feature extraction to subpixel accuracy using the generalized energy approach
Author(s) Kisworo, Marsudi
Venkatesh, Svetha
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
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044847

Document type: Conference Paper
Collections: School of Information Technology
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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.