Title :
Self-similarity coding of random texture with applications to design and detection of complicated patterns
Author_Institution :
Fac. of Eng., Osaka Inst. of Technol., Japan
Abstract :
A dynamic scheme is presented for identifying generation processes of complicated patterns. Patterns with random textures are filtered to yield a discrete feature pattern. This feature pattern is successively expanded for estimating self-similar partition. A set of reduced affine mappings is specified through joint statistic-geometry analysis of the partition. The coding method is applied to design and detection of complicated patterns
Keywords :
computational geometry; fractals; image coding; image texture; pattern recognition; probability; statistical analysis; coding method; complicated pattern recognition; discrete feature pattern; fractal; random texture; reduced affine mappings; self-similar partition; self-similarity coding; statistic-geometry analysis; Design engineering; Fractals; Image analysis; Image converters; Image generation; Layout; Pattern analysis; Surface texture; Testing; Visualization;
Conference_Titel :
Robot and Human Communication, 1996., 5th IEEE International Workshop on
Conference_Location :
Tsukuba
Print_ISBN :
0-7803-3253-9
DOI :
10.1109/ROMAN.1996.568865
