NDLI: An Organic Computing architecture for visual microprocessors based on Marching Pixels

Content Provider	IEEE Xplore Digital Library
Author	Fey, D. Komann, M. Schurz, F. Loos, A.
Copyright Year	2007
Description	Author affiliation: Inst. of Comput. Sci., Friedrich-Schiller-Univ. Jena (Fey, D.; Komann, M.; Schurz, F.; Loos, A.)
Abstract	The paper presents architecture and synthesis results for an organic computing hardware for smart CMOS camera chips. The organic behavior in the chip hardware is based on distributed and emergent functionality exploited for detection of objects and their center points given in binary images. Future real-time embedded systems used in industrial image processing have to provide reply times in the range of milliseconds. It is impossible to meet such strict requirements for megapixel resolutions with serial processing schemes in particular if multiple given objects have to be detected. Even classical parallel techniques like SIMD or MIMD approaches are not sufficient due to their dependency on more or less central control structures. To achieve more flexibility, unlimited scalability and higher performance parallel emergent architectures are necessary. We present such an approach, denoted as marching pixels, for future digital visual microprocessors. Marching pixels work similar to artificial ants. They are crawling as hardware agents within a pixel field, e.g. to identify and to detect center points of an arbitrary number of objects given in an image. We present an emergent marching pixel algorithm for the processing of arbitrary concave objects and its mapping onto real hardware. Based on synthesis results for FPGAs and ASICs we discuss the possibilities of digital organic computing approaches for visual microprocessors for future smart high-speed camera systems.
Starting Page	2686
Ending Page	2689
File Size	356579
Page Count	4
File Format	PDF
ISBN	1424409209
DOI	10.1109/ISCAS.2007.377967
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer architecture Microprocessors Hardware Object detection Smart cameras CMOS image sensors Real time systems Embedded system Image processing Centralized control
Content Type	Text
Resource Type	Article

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