Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196791
