Title :
Learning-data composition and recognition using fractal parameters
Author :
Cho, Jae-Hyun ; Park, Chul-Woo ; Cha, Eui-Young
Author_Institution :
Dept. of Comput. Sci., Ji-san Coll. South Korea
Abstract :
This paper describes a practical equation for estimating the fractal dimensions (FD) of images and discusses the recognition model for which it is applicable. The FD is applied to pre-estimate quantities of the information that can be used to recognize images
Keywords :
fractals; image recognition; learning (artificial intelligence); neural nets; parameter estimation; fractal dimensions; image recognition; learning-data composition; neural networks; parameter estimation; Computer science; Educational institutions; Electronic mail; Equations; Extraterrestrial measurements; Fractals; Image analysis; Image coding; Image recognition; Solid modeling;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.833540
