An efficient architecture for adaptive progressive thresholding

نویسندگان

  • Hui Tian
  • Siew Kei Lam
  • Thambipillai Srikanthan
  • Chip-Hong Chang
چکیده

A new pipelined architecture for adaptive progressive thresholding (APT) is proposed. Unlike the conventional architectures that rely heavily on multipliers and dividers to evaluate the maximum between-class variance, our method employs a reconfigurable logarithmic computing unit to simplify the circuitry and increases the application’s agility to operational variation. Our logarithmic conversion algorithm avoid large look-up table by streaming the operand’s bits into segments so that several small look-up tables and simple adders and shifters are sufficient to guarantee an accurate result. Besides being cost effective, the proposed architecture has also significantly reduced the latency of the critical pipelined stage.

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تاریخ انتشار 2002