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
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