Title :
Multifractal texture analysis and classification
Author :
Anh, V.V. ; Maeda, Jukai ; Tieng, Q.M. ; Tsui, H.T.
Author_Institution :
Centre in Stat. Sci. & Ind. Math., Queensland Univ. of Technol., Brisbane, Qld., Australia
Abstract :
Existing fractal methods of texture analysis rely on the fractal dimension of textures as a function of scale for their discrimination and classification. We propose a method which is based on the possible multiscaling/multifractality of textures. A stochastic model is suggested to represent this multiscaling behaviour. We demonstrate the value of the method on a number of similar data sets (hence quite difficult for their discrimination) from the high-resolution Brodatz album
Keywords :
data structures; image classification; stochastic processes; data sets; fractal methods; high-resolution Brodatz album; multifractal texture analysis; multifractality; multiscaling behaviour; stochastic model; texture classification; Computer industry; Computer science; Electronics industry; Fractals; Industrial electronics; Mathematics; Rough surfaces; Stochastic processes; Surface roughness; Systems engineering and theory;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.819633
