Paper
23 May 1983 Analysis Of Low-Level Computer Vision Algorithms For Implementation On A Very Large Scale Integrated (VLSI) Processor Array
Michael R. Lowry, Allan Miller
Author Affiliations +
Abstract
In a recent paper [Lowry 81], we described an architecture for a computer vision rectangular processor array that is suitable for VLSI implementation. In this paper we will review that architecture and discuss extensions to it and present results of an array simulator applied to vision algorithms. We will also present an algorithm for re-routing an array with bad processors into a working subset of the array, making it feasible to implement a large array on one wafer-sized chip.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael R. Lowry and Allan Miller "Analysis Of Low-Level Computer Vision Algorithms For Implementation On A Very Large Scale Integrated (VLSI) Processor Array", Proc. SPIE 0360, Robotics and Industrial Inspection, (23 May 1983); https://doi.org/10.1117/12.934096
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image processing

Array processing

Convolution

Semiconducting wafers

Very large scale integration

Computer simulations

Computer vision technology

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