Title
Texture Description Using Fractal And Energy Features
Keywords
fractals; textural energy; texture classification; Texture segmentation
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. © 1994.
Publication Date
1-1-1995
Publication Title
Computers and Electrical Engineering
Volume
21
Issue
1
Number of Pages
21-32
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/0045-7906(94)00012-6
Copyright Status
Unknown
Socpus ID
0029185243 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0029185243
STARS Citation
Kasparis, T.; Tzannes, N. S.; and Bassiouni, M., "Texture Description Using Fractal And Energy Features" (1995). Scopus Export 1990s. 1952.
https://stars.library.ucf.edu/scopus1990/1952