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《Intelligent Computer and Applications》 2019-04
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MeMBer filter cell tracking method

DENG Jieni;ZHANG Chaoyue;HUANG Zhaowei;LI Zongze;SHI Chunmei;College of Science,Northeast Forestry University;  
Many medical diagnostic results depend on the results of the examination of the state of motion of the cells. In order to accurately obtain the information of living cells activities including newborn,division and extinction in a certain period of time,and provide accurate and reliable real data and quantitative analysis results for medical pathology identification and research,this paper will focus on the problem of live cell tracking. The multi-target tracking technique based on Multi-Bernoulli filter(MeMBer) is introduced into the micro cell tracking. The innovation lies in the simulation of the individual cells into elliptical shapes,which are facilitated with the fitting of target shape. The shape parameters of a cell are uniquely determined by using mathematical morphology to measure features including the elliptical long axis,short axis,core coordinates,and tilt angle etc. The method can be applied to living cell tracking in general cell motion state. Finally,the effectiveness of the proposed algorithm is verified by simulation experiments.
【Fund】: 中央高校基本科研业务费专项基金(2572018BC07);; 东北林业大学大学生创新训练项目(201810225465)
【CateGory Index】: TP391.41;R318
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