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Local energy, the pre-envelope, and filter resolution

Venkatesh, Svetha, Cooper, James and White, Brian 1992, Local energy, the pre-envelope, and filter resolution, in Proceedings of the 11th IAPR International Conference on Pattern Recognition : Image, Speech and Signal Analysis, IEEE, Los Alamitos, Calif., pp. 13-17.

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Title Local energy, the pre-envelope, and filter resolution
Author(s) Venkatesh, Svetha
Cooper, James
White, Brian
Conference name International Conference on Pattern Recognition (11th : 1992 : The Hague, The Netherlands)
Conference location The Hague, The Netherlands
Conference dates 30 Aug.-1 Sep. 1992
Title of proceedings Proceedings of the 11th IAPR International Conference on Pattern Recognition : Image, Speech and Signal Analysis
Editor(s) [Unknown]
Publication date 1992
Conference series International Conference on Pattern Recognition
Start page 13
End page 17
Total pages 5
Publisher IEEE
Place of publication Los Alamitos, Calif.
Keyword(s) band pass filters
computer vision
convolution
energy resolution
feature extraction
fourier transforms
gabor filters
motion detection
passband
Summary We examine the construction of new filters for computing local energy, and compare these filters with the Gabor filters and the three-point-filter of Venkatesh [l]. Further, we demonstrate that the effect of convolution with complex Gabor filters is to band-pass (with some differentiating effect) and compute the local energy of the result. The magnitude of the resulting local energy is then used to detect features [2], [3] (step features, texture etc.), and the phase is used to classify the detected features [l], [4] or provide disparity information for stereo [5] and motion work [6], [7]. Each of these types of information can be obtained at multiple resolutions, enabling the use of course to fine strategies for computing disparity, and allowing the discrimination of image textures on the basis of which parts of the Fourier domain they dominate [8], [9].
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 0818629304
9780818629303
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 ©1992, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044778

Document type: Conference Paper
Collections: School of Information Technology
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