Title :
Directional scale imaging for extracting maneuvering affordance
Author_Institution :
Osaka Inst. of Technol., Japan
Abstract :
A scheme is presented for detecting maneuvering affordance in noisy imagery. Under the assumption that roadway texture can be identified with noisy observation of fractal attractors, image features are represented in directional scale images. For eliminating background noise, pixelwise filter is designed based on probabilistic complexity analysis. The detectability of affordance patterns has been verified through experimental studies.
Keywords :
feature extraction; filters; image representation; image texture; interference suppression; visual perception; background noise elimination; directional scale imaging; fractal attractor observation; image feature representation; maneuvering affordance extracting; noisy imagery; pixelwise filter; probabilistic complexity analysis; roadway texture; Artificial intelligence; Automation; Background noise; Filters; Fractals; Frequency; Layout; Robustness; Safety; Visual perception;
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
DOI :
10.1109/ISSPA.2003.1224754
