Autofocusing for automated microscopic evaluation of blood smear and pap smear.

X. Y. Liu, W. H. Wang, Y. Sun

研究成果: Article同行評審

13 引文 斯高帕斯(Scopus)

摘要

Autofocusing is a fundamental procedure towards automated microscopic evaluation of blood smear and pap smear samples for clinical diagnosis. This paper presents comparison results of 16 focus algorithms based on a total of 8000 bright-field images from 10 blood smear and pap smear samples. A ranking methodology adapted from our previously proposed ranking system is used for thoroughly evaluating the performance of the selected 16 focus algorithms. Experimental results demonstrate that the variance algorithm provides the best overall performance, which will be selected for our future implementation of an automated microscopic system for computer-assisted blood smear and pap smear evaluation. Together with our previously reported findings, we hypothesize that the variance algorithm or the Normalized variance algorithm is the optimal focus algorithm for all non- fluorescence microscopy applications.

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 生物醫學工程
  • 電腦視覺和模式識別
  • 健康資訊學

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