Marching pixels: Using organic computing principles in embedded parallel hardware
Fey D (2006)
Publication Type: Conference contribution
Publication year: 2006
Edited Volumes: PARELEC 2006 - Proceedings: International Symposium on Parallel Computing in Electrical Engineering
Pages Range: 369-373
Conference Proceedings Title: 5th Intern. Conf. on Parallel Computing in Electrical Engineering
Event location: Bialystok, Poland
Abstract
We present an organic computing approach for very fast image processing, which we call Marching Pixels (MPs). Using an embedded massively-parallel array of processor elements (PEs) MPs exploit emergent algorithms in order to solve difficult tasks. They are data packets residing in specific PEs and can be seen as virtual organisms, which are born, move, unite, are mutated, leave signatures on the ground, and die on the processor field. MPs algorithms feature the desired self-x attributes and have the abilities to make image processing in a smart CMOS camera robust and fast enough. An example algorithm for object detection is outlined and evaluated concerning complexity and effectiveness. © 2006 IEEE.
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How to cite
APA:
Fey, D. (2006). Marching pixels: Using organic computing principles in embedded parallel hardware. In 5th Intern. Conf. on Parallel Computing in Electrical Engineering (pp. 369-373). Bialystok, Poland, PL.
MLA:
Fey, Dietmar. "Marching pixels: Using organic computing principles in embedded parallel hardware." Proceedings of the (PARELEC 2006), Bialystok, Poland 2006. 369-373.
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