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Multi-thread, increment-bandwidth and weighted mean-shift algorithm for neural stem cells tracking

  • Chunming Tang*
  • , Hongliang Dang
  • , Xiaohong Su
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology
  • Harbin Engineering University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For studying their activities in time lapse image sequences, as some limitations of traditional Mean-Shift Algorithm (MSA) applied in large population cells' tracking exist, an improved MSA with increment bandwidth and adjusted weight is presented for the neural stem cells tracking. Meanwhile, as the limitation of serial computation of MSA, multithreading technique is applied to save tracking time. The presented algorithm has been tested in three image sequences. Tracking result from comparison between improved and traditional MSA shows that the former has increased the accuracy rate and saved time, especially in large population's cells tracking.

Original languageEnglish
Title of host publicationProceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Pages576-579
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 - Shanghai, China
Duration: 21 Dec 200822 Dec 2008

Publication series

NameProceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Volume1

Conference

Conference2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Country/TerritoryChina
CityShanghai
Period21/12/0822/12/08

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