Title :
Self-similarity detection in random texture via multi-scale image analysis
Author_Institution :
Fac. of Eng., Osaka Inst. of Technol., Japan
Abstract :
A dynamic scheme is presented for generating a multi-scale image associated with self-similar patterns. By blurring with small scale parameters, zero cross boundaries are extended to geometrically singular fractal patterns. Through weighted averaging with respect to scale factors, a version of conditional probability is well defined to evaluate the chasing process for unknown attractors. The imaging process, thus, is identified via the minimization of missing risk. The proposed method is verified by simulation studies
Keywords :
fractals; image texture; pattern recognition; probability; conditional probability; geometrically singular fractal patterns; multi-scale image analysis; random texture; self-similar patterns; self-similarity detection; simulation; small scale parameters; unknown attractors; weighted averaging; zero cross boundaries; Fractals; Image coding; Image converters; Image generation; Image motion analysis; Image resolution; Image texture analysis; Layout; Manipulator dynamics; Visual perception;
Conference_Titel :
SICE '97. Proceedings of the 36th SICE Annual Conference. International Session Papers
Conference_Location :
Tokushima
DOI :
10.1109/SICE.1997.625007
