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Detection of curved edges at subpixel accuracy using deformable models

Kisworo, M., Venkatesh, S. and West, G. A. W. 1995, Detection of curved edges at subpixel accuracy using deformable models, IEE proceedings : vision, image and signal processing, vol. 142, no. 5, pp. 304-312.

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Title Detection of curved edges at subpixel accuracy using deformable models
Author(s) Kisworo, M.
Venkatesh, S.
West, G. A. W.
Journal name IEE proceedings : vision, image and signal processing
Volume number 142
Issue number 5
Start page 304
End page 312
Total pages 9
Publisher The Institution of Engineering and Technology
Place of publication Stevenage, U.K.
Publication date 1995-10
ISSN 1751-9659
1359-7108
Keyword(s) curve reconstruction
deformable models
subpixel levels
Summary One approach to the detection of curves at subpixel accuracy involves the reconstruction of such features from subpixel edge data points. A new technique is presented for reconstructing and segmenting curves with subpixel accuracy using deformable models. A curve is represented as a set of interconnected Hermite splines forming a snake generated from the subpixel edge information that minimizes the global energy functional integral over the set. While previous work on the minimization was mostly based on the Euler-Lagrange transformation, the authors use the finite element method to solve the energy minimization equation. The advantages of this approach over the Euler-Lagrange transformation approach are that the method is straightforward, leads to positive m-diagonal symmetric matrices, and has the ability to cope with irregular geometries such as junctions and corners. The energy functional integral solved using this method can also be used to segment the features by searching for the location of the maxima of the first derivative of the energy over the elementary curve set.
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 ©1995, IEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044200

Document type: Journal Article
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.