Title :
Structure sensitive sampling of noisy fractal patterns
Author_Institution :
Osaka Inst. of Technol., Osaka, Japan
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;
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse
