Information Measures in Scale-Spaces
نویسندگان
چکیده
This paper investigates R enyi's generalized entropies under linear and nonlinear scale-space evolutions of images. Scale-spaces are useful computer vision concepts for both scale analysis and image restoration. We regard images as densities and prove monotony and smoothness properties for the generalized entropies. The scale-space extended generalized entropies are applied to global scale selection and size estimations. Finally, we introduce an entropy-based ngerprint description for textures. advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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ورودعنوان ژورنال:
- IEEE Trans. Information Theory
دوره 45 شماره
صفحات -
تاریخ انتشار 1999