Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7195
Title: Texture description using fractal and energy features
Authors: Tzannes, Nicolaos S.
Bassiouni, Mostafa A.
Kasparis, Takis 
Keywords: Fractals
Image analysis
Mathematical models
Surface roughness
Issue Date: 1995
Publisher: Elsevier
Source: Computers and Electrical Engineering, 1995, Volume 21, Issue 1, Pages 21-32
Abstract: The fractal dimension of a texture has been used in the past as a segmentation feature, but since it cannot sufficiently describe enough textural characteristics, additional features are needed. In this paper we demonstrate that by combining the fractal dimension with a simple textural energy measure, a significant performance improvement is achieved compared to using each feature alone. The fractal dimension is computed using an efficient method that is also more accurate than most other popular methods, and the textural energy is easily computed using convolutional masks. Segmentation and classification of natural textures based on these two features is presented and the effect of additive noise is considered.
URI: http://ktisis.cut.ac.cy/handle/10488/7195
ISSN: 00457906
DOI: 10.1016/0045-7906(94)00012-6
Rights: © Elsevier Science Ltd
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