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Title of Journal: Cluster Comput

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Abbravation: Cluster Computing

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Springer US

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1573-7543

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Fish swarm window selection algorithm based on cel

Authors: Fengshou Zhang Siwen Li Zhigang Hu Zhe Du
Publish Date: 2017/02/08
Volume: 20, Issue: 1, Pages: 485-495
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Abstract

The selection window of selection algorithm used in traditional automatic focus window concentrates mainly on the center of image so the randomly distributed cells would always be out of focus To address this problem on the basis of analyzing the performance of selection algorithm of different focusing windows a modified autofocus window algorithm upon traditional fish swarm algorithm has been proposed fish swarm window selection algorithm After comparatively analyzing the images in focus window that are obtained by traditional and improved fish swarm algorithm a conclude can be drawn that the focus window of modified algorithm can contain more cells and target bodies To be specific owing to fishswarm window selection algorithm in the selection window the quantity of the high frequency of images greatly increases the optimal solution converges to 0999 and the estimated value of sharpness of the obtained microscopic cell images also improves with high precision and high accuracy of focus of the improved algorithm

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