Overlapping cells separation method for cervical cell images

Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Volumn , Issue , 2010, Pages 1218-1222

  Sulaiman, Siti Noraini ^a   Isa, Nor Ashidi Mat ^b   Yusoff, Intan Aidha ^c   Othman, Nor Hayati ^b  

^a Underwater Robotics Research Group   (Malaysia)

^b SCHOOL OF MEDICAL SCIENCES   (Malaysia)

^c UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Cervical cancer; Features extraction; Image segmentation; Overlapping cells; Pap smear; Pseudo colour features extraction (PCFE)

Indexed keywords

CERVICAL CANCERS; FEATURES EXTRACTION; OVERLAPPING CELLS; PAP SMEAR; PSEUDO COLOUR FEATURES EXTRACTION (PCFE);

COLOR; CYTOLOGY; DISEASES; EDGE DETECTION; FEATURE EXTRACTION; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; INTELLIGENT SYSTEMS; MEDICAL IMAGING; SYSTEMS ANALYSIS;

CELLS;

EID: 79851482735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2010.5687020     Document Type: Conference Paper

References (23)

1. L. Zeng, and Q. Wu, "Fast segmentation of cervical cells by using spectral imaging analysis techniques," Lecture Notes in Computer Science; Advances in Natural Computation, 2006. 4222: p. 734-741. (Pubitemid 44641547)
2. T. Mouroutis, and S. J. Roberts, "Robust cell nuclei segmentation using statistical modeling," IOP Bioimaging, 1998. 6: p. 79-91. (Pubitemid 28298683)
3. A. Garrido, and N. P. d. l. Blanca, "Applying deformable templates for cell image segmentation," Pattern Recognition, 2000. 33: p. 831-832.
4. P. Bamford, and B. Lovell, "Unsupervised cell nucleus segmentation with active contours," Signal Processing, 1998. 71(2): p. 203-213. (Pubitemid 128428381)
5. P. Bamford, and B. Lovell, "A water immersion algorithm for cytological image segmentation," in Proceedings of the APRS Image segmantation workshop, 1996. University of Technology Sydney, Sydney
6. R. Ghafar, M. Y. Mashor, and N. H. Othman, "Segmentation of Pap Smear Slides Images Using K-Means Clustering," in Kuala Lumpur International Conference on Biomedical Engineering, 2002. Kuala Lumpur, Malaysia.
7. N. A. M. Isa., M. Y. Mashor, and N. H. Othman, "Automatic Seed Based Region Growing for Pap Smear Image Segmentation," in Kuala Lumpur International Conference on Biomedical Engineering, 2002. Kuala Lumpur, Malaysia.
8. W. X. Wang, "Binary image segmentation of aggregates based on polygonal approximation and classification of concavities," Pattern Recognition, 1998. 31(10): p. 1503-1524. (Pubitemid 128384087)
9. L. Vincent, "Morphological grayscale reconstruction in image analysis: applications and efficient algorithms," IEEE Transactions on Image Processing, 1993. 2(2): p. 176-201. (Pubitemid 23692871)
10. N. Malpica, C. O. de Solórzano, J.J. Vaquero, A. Santos, I. Vallcorba, J.M. García-Sagredo, and F. del Pozo, "Applying watershed algorithms to the segmentation of clustered nuclei," Cytometry, 1997. 28: p. 289-297. (Pubitemid 27359604)
11. O. Lezoray, and H. Cardot, "Cooperation of color pixel classification schemes and color watershed: a study for microscopic images," IEEE Transactions on Image Processing, 2002. 11(7): p. 783-789. (Pubitemid 34949982)
12. V. Grau, A. U. J. Mewes, M. Alcaniz, R. Kikinis, and S. K. Warfield, "Improved watershed transform for medical image segmentation using prior information," IEEE Transactions on Medical Imaging, 2004. 23(4): p. 447-458.
13. M. Sonka, V. Hlavac, and R. Boyle, "Image Processing, Analysis and Machine Vision". 2002: Publishing House of Posts and Telecommunications.
14. J. M. Lester, H. A. Williams, B. A. Weintraub, and J. F. Brenner, "Two Graph Searching Techniques for Boundary Finding in White Cell Images," Computers in Biology and Medicine, 1978. 8(4): p. 293-308. (Pubitemid 9058480)
15. Y. Yusai, and Y. Huimin., "A separating algorithm based on granulometry for overlapping circular cell images," International Conference on Intelligent Mechatronics and Automation, 2004.
16. J. Romberg, W. Akram, and J. Gamiz, Image Segmentation Using Region Growing, in http://www.owlnet.rice.edu/elec539/project97/WDEKnow/index. 1997.
17. A. D. T. Govan, P. S. MacFarlane, and R. Callander, Pathology Illustrated. 2nd Edition ed. 1986, Edinburgh: Churchil Livingstone.
18. B. Jahne, Digital Image Processing. 6th Revised and Extended Edition ed. 2005: Springer.
19. I. Pitas, Digital Image Processing Algorithmns and Applications. 1999: John Wiley & Sons.
20. A. N. Bondarenko, A. V. Katsuk, and N. S. Katsuk., "Extracting feature vectors of biomedical images," in The 9th Russian-Korean International Symposium on Science and Technology, 2005. KORUS 2005.
21. N. A. M. Isa, M. Y. Mashor, and N. H. Othman., "Contrast Enhancement Image Processing Technique on Segmented Pap Smear Cytology Images," in World Congress on Medical Physics and Biomedical Engineering (WC2003). 2003. Sydney, Australia.
22. N. A. M. Isa, M. Y. Mashor, and N. H. Othman, "Seeded Region Growing Features Extraction Algorithm; It's Potential Use in Improving Screening for Cervical Cancer," International Journal of The Computer, The Internet and Management, 2005. 13(1): p. 61-70.
23. N. E. A. Khalid, P. A. Venkatachalam, and U. K. Ngah., "Diagnosis of Bone Lesion Based on Histogram Equalization," in International Conference on Robotics, Vision and Parallel Processing for Automation. 1999.