Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Edge Detection and Level Set Active Contour Model for the Segmentation of Cavity Present in Dental X-Ray Images

Print
PDF
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 9
Year of Publication: 2014
Authors:
Akanksha Kaushik
Parkash C Mathpal
Vandini Sharma
10.5120/16822-6576

Akanksha Kaushik, Parkash C Mathpal and Vandini Sharma. Article: Edge Detection and Level Set Active Contour Model for the Segmentation of Cavity Present in Dental X-Ray Images. International Journal of Computer Applications 96(9):24-29, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Akanksha Kaushik and Parkash C Mathpal and Vandini Sharma},
	title = {Article: Edge Detection and Level Set Active Contour Model for the Segmentation of Cavity Present in Dental X-Ray Images},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {9},
	pages = {24-29},
	month = {June},
	note = {Full text available}
}

Abstract

In the field of medical science, one of the oldest and frequently used techniques, for detecting fractures/defects in human bones is X-Ray. This is worth to do research on segmentation of X-Ray images and inventing the new techniques for the same. In this paper we used X-Ray Dental Images and Segmentation is done using Level Set Active Contour.

References

  • M. A. Balafar, ABD. Rahman Ramli, M. Iqbal Saripan, Rozi. Mahmud, Syamsiah Mashohor, Molod. Balafar "New Multi-scale Medical Image Segmentation based on Fuzzy CMean (FCM)" IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA), pp 66-70, ISBN: 978-1-4244-2416-0, 2008
  • N. Senthilkumaran, "Edge Detection for Dental X-ray Image Segmentation using Neural Network approach", The International Journal of Computer Science & Applications (TIJCSA) Volume 1, No. 7, September 2012 ISSN – 2278-1080, 2012
  • M. Kass, A. Witkin and D. Terzopoulos, "Snakes: Active Contour Models," International Journal of Computer Vision, 1(4): 321-331,1988.
  • V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," in IJCV, 1997.
  • Xu, J. L. Prince, "Gradient Vector Flow: A New External Force for Snakes," IEEE Proceedings on Computer Vision and Pattern Recognition, 66-71,1997.
  • Steve R. Gunn, Mark S. Nixon, "A Robust Snake Implementation; A Dual Active Contour" , IEEE Transactions on Pattern Analysis and Machine Intelligence, VOL. 19, NO. 1, 1997
  • J. A. Sethian, "Level Set Methods and Fast Marching Methods," Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision and Materials Science, 1st. ed. Cambridge University Press,1999.
  • G. A. Giraldi, E. Strauss and A. A. F. Oliveira, "A Boundary Extraction Approach Based on Multi-Resolution Methods and the T-Snakes Framework," DEL, UFRJ,2000.
  • T. Chan and L. Vese, "Active contours without edges," in IEEE Trans. on Image Processing, 2001.
  • Foued Derraz, Mohamed Beladgham, M'hamed Khelif, "Application of Active Contour Models in Medical Image Segmentation", Information Technology: Coding and Computing (ITCC), pp 675 - 681 Vol. 2, ISBN: 0-7695-2108-8, April 2004
  • Li, C. Xu, C. Gui, et al, "Level set evolution without reinitialization: A new variational formulation," in Proc. IEEE Conf. Computer Vision and Pattern Recognition(CVPR), San Diego, 2005, vol. 1, pp. 430–436, 2005
  • Xujia Qin, Suqiong Zhang, "New Medical Image Sequences Segmentation Based On Level Set Method", Image Analysis And Signal Processing (IASP), Pp 22 – 27, ISBN: 978-1-4244-3987-4, April 2009
  • Yun-Jen Chiu, Van-Truong Pham, Thi-Thao Tran, Kuo-Kai Shyu, "Evaluation of Active Contour on Medical Inhomogeneous Image Segmentation", Computer Science and Information Technology (ICCSIT), pp 311 – 314, ISBN: 978-1-4244-5537-9, July 2010
  • Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Chen, "Fast And Robust Active Contours For Image Segmentation", Image Processing (ICIP), pp 641 – 644, ISBN: 978-1-4244-7992-4, Sept. 2010
  • Chunming Li, Rui Huang, Zhaohua Ding, J. Chris Gatenby, Dimitris N. Metaxas, John C. Gore, "A Level Set Method For Image Segmentation In The Presence Of Intensity Inhomogeneities With Application To MRI", IEEE Transactions on Image Processing, pp 2007-2016 VOL. 20, July 2011
  • Abdolvahab Ehsani Rad, Mohd Shafry Mohd Rahim, Alireza Norouzi, "Digital Dental X-Ray Image Segmentation And Feature Extraction", TELKOMNIKA, Pp. 3109 - 3114, E-ISSN: 2087-278X, June 2013
  • Chunming Li, Chenyang Xu, Changfeng Gui, Martin D. Fox, "Distance Regularized Level Set Evolution And Its Application To Image Segmentation", IEEE Transactions on Image Processing, VOL. 19, Pp 3243-3253, December 2010