Please use this identifier to cite or link to this item:
|Title:||Texture discrimination by local morphological multifractal signatures|
|Source:||TENCON 2006 : 2006 IEEE Region 10 Conference : Hong Kong, China, 14-17 November, 2006, p. [1-4] How to cite?|
|Abstract:||Both the fractal dimension (FD) and the multifractal dimensions (MFD) have been widely used to describe natural textures in image processing community. However, due to the essential difference between the fractal reality of digital images and the mathematical fractal model, most FD/MFD estimation algorithms intrinsically produce less accurate results. In this paper, the idea of fractal signature is adopted and extended to the morphological multifractal estimation. As a result, a novel texture descriptor, namely the local morphological multifractal signatures (LMMS), is proposed to characterize the local scaling property of textured images. The LMMS depict the behavior of the morphological MFD over a wide range of spatial scales. The proposed LMMS feature, together with the fractal signature and the morphological MFD, has been applied to the discrimination of Brodatz textures. The comparison results demonstrate that our LMMS feature can differentiate natural textures more effectively.|
|Rights:||© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for 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.|
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.
|Appears in Collections:||Conference Paper|
Show full item record
Files in This Item:
|Xia_et_al_Morphological_Multifractal_Signatures.pdf||3.96 MB||Adobe PDF||View/Open|
Checked on Sep 25, 2016
Checked on Sep 25, 2016
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.