Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1898
Title: Texture discrimination by local morphological multifractal signatures
Authors: Xia, Y
Zhao, R
Zhang, Y
Feng, DD
Sun, J
Keywords: Fractals
Image texture
Mathematical morphology
Issue Date: 2006
Publisher: IEEE
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.
URI: http://hdl.handle.net/10397/1898
ISBN: 1-4244-0549-1
DOI: 10.1109/TENCON.2006.344115
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