Title

Texture Description Using Fractal And Energy Features

Title - Alternative

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.

Publication 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

WOS:A1995PW26300003

ISSN

0045-7906

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