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.
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 , .
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Field of Research
089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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