An unsupervised GVF snake approach for white blood cell segmentation based on nucleus

International Conference on Signal Processing Proceedings, ICSP

Volumn 2, Issue , 2006, Pages

  Zamani, Fatemeh ^a   Safabakhsh, Reza ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Color gradient; Edge map; GVF snake; Segmentation; Touching cell

Indexed keywords

ALGORITHMS; BLOOD; IMAGE ANALYSIS; MEDICAL IMAGING; MICROSCOPIC EXAMINATION;

COLOR GRADIENT; EDGE MAP; GVF SNAKE; TOUCHING CELL;

IMAGE SEGMENTATION;

EID: 34249294060     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2006.345648     Document Type: Conference Paper

References (25)

1. I. Cseke, "A Fast Segmentation Scheme for WBC Images ", IEEE Conf. Image, Speech and Signal Analysis, pp.530-533, 1992.
2. D. Comaniciu, P. Meer, D. Foran, and A. Medl, "Bimodal system for interactive indexing and retrieval of pathology images", IEEE Conf. Applications of Computer Vision, pp. 76-81, 1998.
3. S.F. Bikhet, A.M.Darwish, H.A.Tolba and S.I.Shaheen, " Segmentation and Clustering of WBC ", IEEE Conf. Acoustics, Speech, and Signal Processing., vol.4, pp.2259-2261, 2000.
4. B. Ravi Kumar, Danny K Joseph and T.V.Sreenivas, "Teager Energy Based Blood Cell Segmentation," IEEE Conf. Digital Signal Processing., vol.2,pp. 619-622, 2002.
5. Q.Liano, and Y.Deng, " An Accurate Segmentation Method For White Blood Cell Images," IEEE Conf. Biomedical Imaging, pp.245-248, 2002.
6. C.Ruberto, A.Dempster, S.Khan,and B.Jarra, "Analysis of Infected blood cell images using morphological operators," Image and Vision Computing, vol.20, pp.133-146, 2002.
7. H.Sheikh, B.Zhu, and E.Micheli, "Blood Cell Identification Using Neural Networks," IEEE Conf. Biomedical Imaging, pp.245-248, 1996.
8. J. Park and J. Keller, "Fuzzy Patch Label Relaxation in Bone Marrow Cell Segmentation," Proc. IEEE Int'l Conf. Systems, Man, and Cybernetics, pp. 11331138, Oct. 1997.
9. B. Nilsson, A. Heyden, AB Cellavision and Sweden Lund, "Model-Based Segmentation of Leukocytes Clusters", IEEE Conf. of Pattern Recognition., vo;.2, pp.727-730, 2002
10. Daniela Mayumi Ushizima Sabino, Luciano da Fontoura Costa, Edgar Gil Rizzatti and Marco Antonio Zago, a texture approach to leukocyte recognition," Real-TimeImaging, vol.10,pp205-217, 2004.
11. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models,"Int. J. Comput. Vis., vol 1,pp. 321-331, 1987.
12. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models, " Int. J. Comput. Vis., vol 1, pp. 321-331, 1987.
13. D. Terzopoulos and K. Fleischer, "Deformable models," Vis. Comput., vol. 4, pp. 306-331, 1988.
14. T. McInerney and D. Terzopoulos, "A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysis," Comput. Med.Imag. Graph., vol 19, pp. 69-83, 1995.
15. F. Leymarie and M. D. Levine, "Tracking deformable objects in the plane using an active contour model," IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 617-634, 1993.
16. R. Durikovic, K. Kaneda, and H. Yamashita, "Dynamic contour: A texture approach and contour operations," Vis. Comput., vol 11, pp.277-289, 1995.
17. D. Terzopoulos and R. Szeliski, "Tracking with Kalman snakes," in Active Vision, A. Blake and A. Yuille, Eds. Cambridge, MA: MIT Press, 1992, pp.3-20.
18. C. Xu and J. L. Prince, " Snakes, Shapes, and Gradient Vector Flow," IEEE Trans. on Image Processing, Vol 7, No. 3, pp. 359-369, March 1998.
19. V. Caselles, F. Carte, T. Coll, and F. Dibos, "A geometric model for active contours," Numer. Math., vol. 66, pp. 1-31, 1993.
20. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," in Proc. 5th Int. Conf Computer Vision, 1995, pp. 694-699.
21. V. Caselles, F. Catte, T. Coll, and F. Dibos, "A Geometric Model for Active Contours in Image Processing", Numerische Mathematik, vol. 66, pp. 1-32, October 1993.
22. R. Malladi, J. A. Sethian, B. C. Vemuri, "Shape Modeling with Front Propagation: A Level Set Approach," IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(2): 158-175, Feburary 1995.
23. B. Leroy, I. Herlin, and L. D. Cohen, "Multi-resolution algorithms for active contour models," in 12th Int. Conf. Analysis and Optimization of Systems, 1996, pp. 58-65.
24. L. D. Cohen, "On active contour models and balloons," CVGIP: Image Understand., vol. 53, pp. 211-218, Mar. 1991.
25. L. D. Cohen and 1 Cohen, "Finite-element methods for active contour models and balloons for 2-D and 3-D images," IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 1131-1147, Nov. 1993.