Title
Texture Description Using Fractal And Energy Features
Abbreviated Journal Title
Comput. Electr. Eng.
Keywords
Texture Segmentation; Texture Classification; Fractals; Textural Energy; Computer Science, Hardware & Architecture; Computer Science, ; Interdisciplinary Applications; Engineering, Electrical & Electronic
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 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.
Journal Title
Computers & Electrical Engineering
Volume
21
Issue/Number
1
Publication Date
1-10-1995
Document Type
Article
Language
English
First Page
21
Last Page
32
WOS Identifier
ISSN
0045-7906
Recommended Citation
"Texture Description Using Fractal And Energy Features" (1995). Faculty Bibliography 1990s. 765.
https://stars.library.ucf.edu/facultybib1990/765
Comments
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