Automated cervical cell image segmentation using level set based active contour model

2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012

Volumn , Issue , 2012, Pages 877-882

  Fan, Jinping ^a   Wang, Ruichun ^a   Li, Shiguo ^a   Zhang, Chunxiao ^a  

^a SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY   (China)

Author keywords

Active contour model; Cell image; Cervical cancer; Image segmentation; Level set method

Indexed keywords

ACTIVE CONTOUR MODEL; CELL IMAGES; CERVICAL CANCERS; COARSE SEGMENTATION; LEVEL SET FUNCTIONS; LEVEL SET METHOD; NUMERICAL EXPERIMENTS; THE REGION OF INTEREST (ROI);

AUTOMATION; CELLS; CYTOLOGY; NUMERICAL METHODS; ROBOTICS;

IMAGE SEGMENTATION;

EID: 84876029648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2012.6485273     Document Type: Conference Paper

References (17)

1. Pascal Bamford and Brian Lovel, "Improving the Robustness of Cell Nucleus Segmentation," British Machine Vision Conference, pp. 318-323, 1999
2. Pascal Bamford, Brian Lovell, "Unsupervised cell nucleus segmentation with active contours," Signal Processing, vol. 71, pp. 203- 213, 1998
3. Pascal Bamford and Brian Lovell, "Bayesian Analysis of Cell Nucleus Segmentation by a Viterbi Search Based Active Contour," Proc. of 14th Int. Conf. on pattern Recognition, vol. 1, pp.133-135, 1998
4. M.E. Plissiti, A. Charchanti, O. Krikoni and D.I. Fotiadis, "Automated segmentation of cell nuclei in PAP smear images," Proc. IEEE International Special Topic Conference on Information Technology in Biomedicine, pp.26-28, 2006
5. T. Mouroutis and S. J. Roberts, "Robust cell nuclei segmentation using statistical modeling,", Bioimaging, vol. 6, pp.79-91, 1998
6. Chin-Wen Chang, Ming-Yu Lin, Horng-Jyh Harn, Yen-Chern Harn, Chien-Hung Chen, Kun-His Tsai, Chi-Hung Hwang, "Automatic segmentation of abnormal cell nuclei from microscopic image analysis for cervical cancer screening," IEEE International Conference on Nano/Molecular Medicine and Engineering (NANOMED), pp. 77-80, 2009
7. Meng-Husiun Tsai, Yung-Kuan Chan, Zhe-Zheng Lin, Shys-Fan Yang- Mao, Po-Chi Huang, "Nucleus and cytoplast contour detector of cervical smear image," Pattern Recognition Letters, vol. 29, pp.1441-1453, 2008
8. C. Duanggate, B. Uyyanonvara and T.Koanantakul, "A Review of Image Analysis and Pattern Classification Techniques for Automatic Pap Smear Screening Process," The International Conference on Embedded Systems and Intelligent Technology February, pp. 212-217, 2008
9. Osher S, Sethian JA, "Fronts Propagating with Curvature - Dependent Speed: Algorithms Based on Hamilton - Jacobi Formulations," Computational Physics, vol.79, pp.12-49, 1988
10. Chan TF, Vese LA, "A level set algorithm for minimizing the mumford-shah function in image processing," Proceedings of the IEEE Workshop on Variational and Level Set Methods, pp.161-168, 2001
11. Chan TF, Vese LA, "Image segmentation using level sets and the piecewise constant Mumford-Shah model," UCLA CAM Report, pp. 1- 24, 2000
12. Chan TF, Vese LA, "An Active Contour Model without Edges," International Conference on Scale-Space Theories in Computer Vision, vol. 1682, pp. 141-151, 1999
13. Chan TF, Sandberg BY, Vese LA, "Active Contour Model without Edges for Vector-Valued Images," Journal of Visual Communication and Image Representation, vol. 1682, pp. 130-141, 2000
14. Tony Chan, Luminita Vese, "Active Contour Model without Edges," IEEE Transactions on Image Processing, vol. 10, pp. 266-277, 2001
15. Zhou CX, Yu SL, "Image segmentation based on intra-region similar and inter-region dissimilar properties", J. CENT. SOUTH UNI. (SCIENCE AND TECHNOLOGY), vol 35, pp. 668-672, 2005
16. Chan TF, Vese LA, "An Efficient Variational Multiphase Motion for the Mumford-Shah Segmentation Model," Proceedings of the 34th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, pp. 490-494, 2000
17. Vese LA, Chan TF, "A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model," International Journal of Computer Vision, vol. 50, pp. 271-293, 2000