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A Comparison of Hardware Implementations for Low-Level Vision Algorithms

Author(s)
Gamble, Ed
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Abstract
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.
Date issued
1989-11-01
URI
http://hdl.handle.net/1721.1/6521
Other identifiers
AIM-1173
Series/Report no.
AIM-1173

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  • AI Memos (1959 - 2004)

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