Title :
An efficient approach to compute fractal dimension in texture image
Author :
Chaudhuri, B.B. ; Sarkar, N.
Author_Institution :
Electron. & Commun. Sci. Unit, Indian Stat. Inst., Calcutta, India
fDate :
30 Aug-3 Sep 1992
Abstract :
Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. This feature is used in texture segmentation and classification, shape analysis and other problems. An efficient differential box-counting approach to fractal dimension estimation is proposed and compared with four other methods
Keywords :
fractals; picture processing; differential box-counting approach; fractal dimension; roughness; self-similarity; shape analysis; texture classification; texture image; texture segmentation; Computer vision; Equations; Fractals; Image processing; Least squares approximation; Least squares methods; Shape; Strips; Surface fitting;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201575
