Title :
Scale limits in estimating fractal dimensions of image surfaces
Author :
Jin, X.C. ; Ong, S.H. ; Jayasooriah
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
Fractal dimension is a useful parameter for characterizing textured images. However,different methods and even the same method with different scale ranges of computation give different values due to the finite sizes and gray level numbers of digitized images. This paper presents an intuitive, simple, model-free algorithm for estimating the fractal dimensions of textured images. The emphasis is on how scale range affects the value of the measured fractal dimension. The results of experiments using computer-generated image surfaces demonstrate the validity of the scale limit criterion
Keywords :
fractals; image texture; parameter estimation; fractal dimensions; model-free algorithm; scale limit criterion; textured images; Brownian motion; Digital images; Equations; Fractals; Geometry; Image generation; Interpolation; Motion estimation; Surface topography;
Conference_Titel :
Networks, 1993. International Conference on Information Engineering '93. 'Communications and Networks for the Year 2000', Proceedings of IEEE Singapore International Conference on
Print_ISBN :
0-7803-1445-X
DOI :
10.1109/SICON.1993.515808
