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

Socpus ID

0029185243 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0029185243

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