DocumentCode
3054862
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
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
358
Lastpage
361
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICPR.1992.201575
Filename
201575
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