DocumentCode :
280916
Title :
Accurate textural characterisation using fractal techniques
Author :
Allinson, N.M. ; Lawson, M.
Author_Institution :
Dept. of Electron., York Univ., UK
fYear :
1990
fDate :
33210
Firstpage :
42522
Lastpage :
42527
Abstract :
It has been demonstrated that the fractal dimension is not sufficient to completely categorise texture. However, fractal techniques do have advantages over statistical and structural methods, by providing a framework more suited to natural textures. Many natural textures show fractal-like properties of statistical, if not deterministic, self-similarity. Natural textures exhibit only a limited range of scale for self-similarity. If a fractal dimension is stable over a wide range of scale then it is reasonable to term the textural surface as fractal. A number of approaches are described, using 50 natural textures and sets of artificially generated fractal surfaces, in order to determine robust texture characterisation
Keywords :
computerised picture processing; fractals; artificially generated fractal surfaces; fractal dimension; fractal techniques; natural textures; textural characterisation; textural surface;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Application of Fractal Techniques in Image Processing, IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
191388
Link To Document :
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