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Modeling edges at subpixel accuracy using the local energy approach

Kisworo, M., Venkatesh, S. and West, G. 1994, Modeling edges at subpixel accuracy using the local energy approach, IEEE transactions on pattern analysis and machine intelligence, vol. 16, no. 4, pp. 405-410.

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Title Modeling edges at subpixel accuracy using the local energy approach
Author(s) Kisworo, M.
Venkatesh, S.
West, G.
Journal name IEEE transactions on pattern analysis and machine intelligence
Volume number 16
Issue number 4
Start page 405
End page 410
Total pages 6
Publisher IEEE
Place of publication Piscataway, N. J.
Publication date 1994-04
ISSN 0162-8828
1939-3539
Keyword(s) edge detection
local energy
subpixel feature detection
computer vision
Summary In this paper we described new technique for 1-D and 2-D edge feature extraction to subpixel accuracy using edge models and the local energy approach. A candidate edge is modeled as one of a number of parametric edge models, and the fit is refined by a 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.
Language eng
Field of Research 080104 Computer Vision
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©1994, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044238

Document type: Journal Article
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