Texture classification based on higher-order fractals

Author

Ait-Kheddache, Amar ; Rajala, Sarah A.

Author_Institution

Dept. of Electr. & Comput. Eng., North Carolina Univ., Raleigh, NC, USA

fYear

1988

fDate

11-14 Apr 1988

Firstpage

1112

Abstract

The concept of higher-order fractal dimensions is introduced in the field of computer vision and image processing. An easily computable technique based on higher-order fractal dimensions for texture classification is presented. It is angularly independent and invariant under linear gray-level transformations. This new approach is used to classify some sets of textures. The initial experimental results show that a perfect classification is achieved

Keywords

computer vision; computerised picture processing; fractals; computer vision; higher-order fractals; image processing; linear gray-level transformations; perfect classification; texture classification; Chaos; Computer vision; Fractals; Geometry; Humans; Image processing; Image texture analysis; Machine vision; Surface texture; Technological innovation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196791

Filename

196791

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3001329