Automatic cell segmentation from confocal microscopy images of the Arabidopsis root

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 712-715

  Marcuzzo, Monica ^a   Quelhas, Pedro ^a   Campilho, Ana ^c,d   Mendonça, Ana Maria ^a,b   Campilho, Aurélio ^a,b  

^a INEB INSTITUTO DE ENGENHARIA BIOMÉDICA   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

^c UTRECHT UNIVERSITY   (Netherlands)

^d UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Biological cells; Biomedical image processing; Image processing; Image segmentation

Indexed keywords

BIOLOGICAL CELLS; BIOMEDICAL IMAGE PROCESSING; CELL DIVISIONS; CELL SEGMENTATION;

CELL PROLIFERATION; CONFOCAL MICROSCOPY; IMAGE PROCESSING; IMAGE SEGMENTATION; MICROSCOPIC EXAMINATION; SUPPORT VECTOR MACHINES; TECHNICAL PRESENTATIONS;

CELLS;

EID: 51049123600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4541095     Document Type: Conference Paper

References (12)

1. A. Campilho, B. Garcia, H. Toorn, H. Wijk, A. Campilho, and B. Scheres, "Time-lapse analysis of stem-cell divisions in the arabidopsis thaliana root meristem," The Plant Journal, vol. 48, pp. 619-627, 2006.
2. A. Iwamoto, D. Satoh, M. Furutani, S. Maruyama, H. Ohba, and M. Sugiyama, "Insight into the basis of root growth in arabidopsis thaliana provided by a simple mathematical model," J. Plant Res., vol. 119, pp. 85-93, 2006.
3. T. Roberts, S. Mckenna, N. Wuyts, T. Valentine, and A. Bengough, "Performance of low-level motion estimation methods for confocal microscopy of plant cells in vivo," in Motion07, 2007, pp. 13-13.
4. G. Beemster and T. Baskin, "Analysis of cell division and elongation underlying the developmental acceleration of root growth in arabidopsis thaliana," Plant Physiology, vol. 116, pp. 1515-1526, 1998.
5. B. Garcia, A. Campilho, B. Scheres, and A. Campilho, "Automatic tracking of arabidopsis thaliana root meristem in confocal microscopy," in Proc. of the Inter. Conf. on Image Analysis and Recognition, 2004, pp. 166-174.
6. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. on PAMI, vol. 7, no. 12, pp. 629-639, 1990.
7. K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3d transform-domain collaborative filtering," IEEE Trans. on Image Processing, vol. 16, no. 8, pp. 2080-2095, August 2007.
8. V. Luc and P. Soille, "Watersheds in digital spaces: An efficient algorithm based on immersion simulations," IEEE Trans. on PAMI, vol. 13, no. 6.
9. F. Meyer and S. Beucher, "Morphological segmentation," JVCIR, vol. 1, no. 1, pp. 21-46, Sept. 1990.
10. A. Bleau and L. Leon, "Watershed-based segmentation and region merging," Comput. Vis. Image Underst., vol. 77, no. 3, pp. 317-370, 2000.
11. P. Kovesi, "Symmetry and asymmetry from local phase," in Proc. of the Tenth Australian Joint Conf. on Artificial Intelligence, December 1997.
12. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121-167, 1998.