DocumentCode
1673611
Title
Image Processing Technique for Characteristic Test of Cell Based on Electrorotation Chip
Author
Li, Haiming ; Chen, Dianhong ; Yang, Qihua
Author_Institution
China Jiliang Univ., Hangzhou
fYear
2008
Firstpage
2526
Lastpage
2529
Abstract
On the basis of image characteristic analysis of electrorotation (ROT) chip video, the initial cell contours of various movement objects in each frame have been segmented and each cell contour has been purified to extract using the Snake model, and then the projected area and centroid integral of cell etc. have been calculated. Moreover, the Snake cell contour is fitted into an ellipse using the least squares ellipse fitting algorithm. Through omitting the objects whose area, centroid and deflection angle change suddenly with the statistical rule, then the average of the direction (i.e. ellipse deflection angle) difference of the surplus objects between the continual two frames is taken as the rotation vector of the whole cells; The multi-objects are synchronously tracked in each continual dual- frames by the frame sequence. Finally the actual rotation speed of each cell is calculated at a specified equal time interval.
Keywords
biological techniques; biology computing; cellular biophysics; feature extraction; image segmentation; lab-on-a-chip; least squares approximations; Snake cell contour; Snake model; cell contour segmentation; characteristic test; continual dual-frames; electrorotation chip; frame sequence; image characteristic analysis; image processing technique; least squares ellipse fitting algorithm; rotation vector; Algorithm design and analysis; Computer vision; Data analysis; Data mining; Image analysis; Image processing; Image segmentation; Least squares methods; Testing; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.965
Filename
4535845
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