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
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;
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
DOI :
10.1109/ICBBE.2008.965
