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  • 标题:A Smart Architecture for Low-Level Image Computing
  • 本地全文:下载
  • 作者:A. Elouardi ; S. Bouaziz ; A. Dupret, L.,Lacassagne
  • 期刊名称:International Journal of Computer Science & Applications
  • 印刷版ISSN:0972-9038
  • 出版年度:2008
  • 卷号:V
  • 期号:IIIa
  • 页码:1-19
  • 出版社:Technomathematics Research Foundation
  • 摘要:This paper presents a comparison relating two different vision system architectures. The first one involves a smart sensor including analog processors allowing on-chip image processing. An external microprocessor is used to control the on-chip dataflow and integrated operators. The second system implements a logarithmic CMOS/APS sensor interfaced to the same microprocessor, in which all computations are carried out. We have designed two vision systems as proof-of-concept. The comparison is related to image processing time. Results reveal that one of the solutions to resolve the computational complexity of computer vision algorithms is to perform some low-level image processing on the sensor focal plane. This concept makes the vision systems more compact as a system on chip and increases performance thanks to the reduction of dataflow exchanges, with external circuits, and power consumption.
  • 关键词:Vision systems architecture; smart sensors; Image processing.
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