The measurement of cell viability based on temporal bag of words for image sequences

Fengqian Pang, Zhiwen Liu, Heng Li, Yonggang Shi

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

5 Citations (Scopus)

Abstract

The measurement of cell viability is an important and challenging topic in the cellular property researches. In this paper, we have presented a novel framework to measure the cell viability from both contour deformation and cytoplasm streaming for image sequences. The framework is distinguished by two aspects: First, we construct the appearance change field on the basis of the displacement field in order to more completely evaluate the streaming of protoplasm. Second, Temporal Bag of Words (TBoW) is introduced to capture the variation of cell viability across the temporal dimension. Experiments show that the proposed method is effective to quantize the cell viability.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PublisherIEEE Computer Society
Pages4185-4189
Number of pages5
ISBN (Electronic)9781479983391
DOIs
Publication statusPublished - 9 Dec 2015
EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
Duration: 27 Sept 201530 Sept 2015

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2015-December
ISSN (Print)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing, ICIP 2015
Country/TerritoryCanada
CityQuebec City
Period27/09/1530/09/15

Keywords

  • Cell Deformation
  • Cell Viability
  • SIFT Flow
  • Shape-Context
  • Temporal Bag of Words

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