Joint tracking of cell morphology and motion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5780 LNBI, Issue , 2009, Pages 36-45

  Cheng, Jierong ^a,b   Koh, Esther G L ^c   Ahmed, Sohail ^c   Rajapakse, Jagath C ^a,b,d  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b SINGAPORE MIT ALLIANCE   (Singapore)

^c INSTITUTE OF MEDICAL BIOLOGY   (Singapore)

^d MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Active contours; Cell segmentation; Level sets; Motion estimation; Optical flow; Tracking

Indexed keywords

ACTIVE CONTOURS; CELL MORPHOLOGY; CELL SEGMENTATION; CELLULAR IMAGE; ENERGY FORMULATIONS; JOINT TRACKING; LEVEL SETS; MINIMUM ENERGY CONFIGURATION; REGION BASED ACTIVE CONTOURS; TRACKING;

BIOINFORMATICS; CELL MEMBRANES; ESTIMATION; IMAGE SEGMENTATION; LEVEL MEASUREMENT; MORPHOLOGY; OPTICAL FLOWS; PATTERN RECOGNITION; THREE DIMENSIONAL;

MOTION ESTIMATION;

EID: 70349847566     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04031-3_4     Document Type: Conference Paper

References (17)

1. Kass, M.,Witkin, A., Terzopoulos, D.: Snakes: active contour models. International Journal of Computer Vision 1(4), 321-331 (1987)
2. Meegama, R.G.N., Rajapakse, J.C.: Nurbs snakes. Image and Vision Computing 21, 551-562 (2003)
3. Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Trans. Image Processing 10(2), 266-277 (2001)
4. Zhang, B., Zimmer, C., Olivo-Marin, J.-C.: Tracking .uorescent cells with coupled geometric active contours. In: Proc. IEEE Int'l Symp. Biomedical Imaging (ISBI), pp. 476-479 (2004)
5. Cheng, J., Rajapakse, J.C.: Segmentation of clustered nuclei with shape markers and marking function. IEEE Trans. Biomedical Engineering 53(3) (2009)
6. Yu, W., Lee, H.K., Hariharan, S., Bu, W., Ahmed, S.: Quantitative neurite outgrowth measurement based on image segmentation with topological dependence. Cytometry Part A 75A(4), 289-297 (2008)
7. Dufour, A., Shinin, V., Tajbakhsh, S., Guillen, N., Olivo-Marin, J.-C., Zimmer, C.: Segmenting and tracking .uorescent cells in dynamic 3-D microscopy with coupled active surfaces. IEEE Trans. Image Processing 14(9), 1396-1410 (2005)
8. Altho., K., Degerman, J., Ẅahlby, C., Thorlin, T., Faijerson, J., Eriksson, P.S., Gustavsson, T.: Time-lapse microscopy and classification of in vitro cell migration using hidden markov modeling. In: Proc. IEEE Int'l Conference on Acoustics, Speech and Signal Processing (ICASSP), vol.5, pp. 1165-1168 (2006)
9. Sage, D., Neumann, F.R., Hediger, F., Gasser, S.M., Unser, M.: Automatic tracking of individual .uorescence particles: Application to the study of chromosome dynamics. IEEE Trans. Image Processing 14(9), 1372-1383 (2005)
10. Yang, X., Li, H., Zhou, X.: Nuclei segmentation using marker-controlled watershed, tracking using mean-shift, and kalman filter in time-lapse microscopy. IEEE Trans. Circ. Sys. -I 53(11), 2405-2414 (2006)
11. Melani, C., Campana, M., Lombardot, B., Rizzi, B., Veronesi, F., Zanella, C., Bourgine, P., Mikula, K., Peyrieras, N., Sarti, A.: Cells tracking in a live zebra.sh embryo. In: Proc. 29th Annual International Conference of IEEE Engineering in Medicine and Biology Society, pp. 1631-1634 (2007)
12. Olivo-Marin, J.-C.: An overview of image analysis in multidimensional biological microscopy. In: Proc. IEEE Int'l Conference on Acoustics, Speech and Signal Processing (ICASSP), vol.5, pp. 1173-1176 (2006)
13. Mitiche, A., Feghali, R., Mansouri, A.: Motion tracking as spatio-temporal motion boundary detection. Robotics and Autonomous Systems 43, 39-50 (2003)
14. Feghali, R.: Multi-frame simultaneous motion estmation and segmentation. IEEE Trans. Consumer Electronics 51(1), 245-248 (2005)
15. Mitiche, A., Sekkati, H.: Optical flow 3d segmentation and interpretation: A variational method with active curve evolution and level sets. IEEE Trans. Pattern Anal. Machine Intell. 28(11), 1818-1829 (2006)
16. Sekkati, H., Mitiche, A.: Joint optical flow estimation, segmentation, and 3d interpretation with level sets. Computer Vision and Image Understanding 103(2), 89-154 (2006)
17. Horn, B.K.P., Schunck, B.G.: Determining optical flow. Artif. Intell. 23, 185-203 (1981)