Detection of nuclear buds based on ellipse fitting

Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010

Volumn , Issue , 2010, Pages 178-183

  Zhang, Chao ^a,b   Sun, Changming ^b   Pham, Tuan D ^a   Vallotton, Pascal ^b   Fenech, Michael ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

Author keywords

Bud detection; DNA damage scoring; Ellipse fitting; Nuclear buds

Indexed keywords

BUD DETECTION; COMPARISON GROUP; DETECTION ALGORITHM; DNA DAMAGES; ELLIPSE FITTING; GENOTOXIC; GENOTOXICITIES; HUMAN EXPOSURES; NEW SOURCES; NUCLEAR BUDS;

ALGORITHMS; ASSAYS; DNA; GEOMETRY; MATERIALS TESTING; NUCLEIC ACIDS;

DAMAGE DETECTION;

EID: 79951601805     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2010.41     Document Type: Conference Paper

References (19)

1. R. Adams and L. Bischof. Seeded region growing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(6):641-647, June 1994.
2. X. Bai, C. Sun, and F. Zhou. Splitting touching cells based on concave points and ellipse fitting. Pattern Recognition, 42(11):2434-2446, November 2009.
3. D. S. Barwick. Very fast best-fit circular and elliptical boundaries by chord data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(6):1147-1152, June 2009.
4. S. Beucher and C. Lantujoul. Use of watersheds in contour detection. Proc. Int. Workshop Image Processing, RealTime Edge and Motion Detection/Estimation, Rennes, France, pages 17-21, September 1979.
5. J. Canny. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-8(6):679-698, November 1986.
6. R. Duda and P. Hart. Use of the Hough transformation to detect lines and curves in pictures. Comm. ACM, 15:11-15, 1972.
7. M. Fenech. Cytokinesis-block micronucleus cytome assay. Nature Protocols, 2(5):1084-1104, May 2007. (Pubitemid 46901289)
8. A. Fitzgibbon, M. Pilu, and R. Fisher. Direct least square of ellipse. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(5):476-480, May 1999.
9. R. Gonzalez and R. Woods. Digital Image Processing. Addison-Wesley, MA, 1992.
10. J. Illingworth and J. Kittler. A survey of the Hough transform. Computer Vision, Graphics, and Image Processing, 44(1):87-116, October 1988.
11. H. K. Lindberg, X. Wang, H. Järventaus, G. C.-M. Falck, H. Norppa, and M. Fenech. Origin of nuclear buds and mi-cronuclei in normal and folate-deprived human lymphocytes. Mutation Research, 617(1-2):33-45, April 2007. (Pubitemid 46386083)
12. A. Longwell and G. Yerganian. Some observations on nuclear budding and nuclear extrusions in a Chinese hamster cell culture. Journal of National Cancer Institution, 34:5369, May 1965.
13. F. Meyer and S. Beucher. Morphological segmentation. J. Visual Comm. and Image Representation, 1(1):21-46, September 1990.
14. Y. Nagawaka and A. Rosenfeld. A note on polygonal and elliptic approximation of mechanical parts. Pattern Recognition, 11(2):133-142, 1979. (Pubitemid 10406521)
15. P. Rosin and G. West. Nonparametric segmentation of curves into various representations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12):1140-1153, December 1995.
16. P. Soille. Morphological Image Analysis: Principle and Applications. Springer, Germany, 1999.
17. M. Sonka, V. Hlavac, and R. Boyle. Image Processing, Analysis and Machine Vision. Chapman & Hall, London, 1995.
18. D. Terzopoulos. Regularization of inverse visual problems involving discontinuities. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-8(4):413-424, July 1986. (Pubitemid 16614037)
19. W. Wang. Binary image segmentation of aggregates based on polygonal approximation and classification of concavities. Pattern Recognition, 31(10):1503-1524, October 1998. (Pubitemid 128384087)