Please use this identifier to cite or link to this item:
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.
ISSN: 00457906
Rights: © Elsevier Science Ltd
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record

Citations 20

checked on Feb 6, 2018

Page view(s)

Last Week
Last month
checked on Dec 14, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.