Title :
The measurement of cell viability based on temporal bag of words for image sequences
Author :
Fengqian Pang;Zhiwen Liu;Heng Li;Yonggang Shi
Author_Institution :
School of Information and Electronics, Beijing Institute of Technology, China
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.
Keywords :
"Feature extraction","Shape","Image motion analysis","Computer vision","Streaming media","Context","Image sequences"
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
DOI :
10.1109/ICIP.2015.7351594