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.
(Some files may be inaccessible until you login with your Deakin Research Online credentials)
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 ,  (step features, texture etc.), and the phase is used to classify the detected features [l],  or provide disparity information for stereo  and motion work , . 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 , .
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.
Unless expressly stated otherwise, the copyright for items in Deakin Research Online 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 email@example.com.