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A Comparison of Hardware Implementations for Low-Level Vision Algorithms

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dc.creator Gamble, Ed
dc.date 2004-10-04T15:14:34Z
dc.date 2004-10-04T15:14:34Z
dc.date 1989-11-01
dc.date.accessioned 2013-10-09T02:45:54Z
dc.date.available 2013-10-09T02:45:54Z
dc.date.issued 2013-10-09
dc.identifier AIM-1173
dc.identifier http://hdl.handle.net/1721.1/6521
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Early and intermediate vision algorithms, such as smoothing and discontinuity detection, are often implemented on general-purpose serial, and more recently, parallel computers. Special-purpose hardware implementations of low-level vision algorithms may be needed to achieve real-time processing. This memo reviews and analyzes some hardware implementations of low-level vision algorithms. Two types of hardware implementations are considered: the digital signal processing chips of Ruetz (and Broderson) and the analog VLSI circuits of Carver Mead. The advantages and disadvantages of these two approaches for producing a general, real-time vision system are considered.
dc.format 5442007 bytes
dc.format 2098467 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AIM-1173
dc.title A Comparison of Hardware Implementations for Low-Level Vision Algorithms


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