DocumentCode
2234051
Title
Structure sensitive sampling of noisy fractal patterns
Author
Kamejima, Kohji
Author_Institution
Osaka Inst. of Technol., Osaka, Japan
fYear
2002
fDate
3-6 Sept. 2002
Firstpage
1
Lastpage
4
Abstract
An adaptive sampling scheme is presented for detecting complex patterns in noisy imagery. By representing imaging processes in terms of unknown contraction mappings, capturing probability is generated for fractal attractors approximating observed patterns. The totality of local maxima of the capturing probability is shown to yield a pattern sensitive sampling of the fractal attractor. The detectability of the sampling scheme has been verified through simulation studies.
Keywords
fractals; image capture; image representation; image sampling; probability; adaptive sampling scheme; capturing probability; contraction mapping; fractal attractor approximating observed pattern; noisy imaging process; pattern sensitive sampling; structure sensitive sampling; Brightness; Complexity theory; Feature extraction; Fractals; Generators; Imaging; Noise measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2002 11th European
Conference_Location
Toulouse
ISSN
2219-5491
Type
conf
Filename
7072008
Link To Document