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

Performance Analysis of Segmentation Techniques

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 45 - Number 23
Year of Publication: 2012
Amandeep Singh
Jaspinder Sidhu

Amandeep Singh and Jaspinder Sidhu. Article: Performance Analysis of Segmentation Techniques. International Journal of Computer Applications 45(23):18-23, May 2012. Full text available. BibTeX

	author = {Amandeep Singh and Jaspinder Sidhu},
	title = {Article: Performance Analysis of Segmentation Techniques},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {45},
	number = {23},
	pages = {18-23},
	month = {May},
	note = {Full text available}


This article presents the performance analysis of different segmentation techniques. Global thresholding, Adaptive thresholding, Region grow and Active contour using level set techniques has been used in this paper for proposed segmentation analysis. In this procedure flows as first by Appling segmentation technique to extract ROI from image and calculate the parameters from the resulting image obtained by the applied techniques. Parameters are PSNR and MSE. Segmentation techniques have been tested on medical and synthetic data sets and results are compared with each other. Tests indicate that using level set contour significantly improves the ability of extracting region of interest with unbroken boundaries and Adaptive thresholding acquires most of the details present in the image. Global thresholding have the highest success rate of extracting the region of interest


  • P. K. Sahoo, S. Soltani and A. K. C. Wong, "A Survey of Thresholding Techniques", Computer Vision, Graphics, and Image Processing, vol. 41, 133-260 (1988).
  • J. S. Weszka, R. N. Nagel, and A. Rosenfeld, "A threshold selection technique", IEEE Trans. Comput. , vol. C-23, pp. 1322-1326, 1974
  • N. Otsu, "A Threshold Selection Method from Gray-Level Histograms", IEEE Trans. Syst. , Man, cybern. , vol. SMC-9 (1), pp. 62-66, Jan. 1979 Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
  • N. R. Pal and S. K. Pal, "A Review on Image Segmentation Techniques", PatternRecognition, vol. 26, No. 9, pp. 1277-1294, 1993.
  • C. M. Li, C. Y. Xu, C. F. Gui, M. D. Fox, Level set evolution without re-initialization: a new variational formulation, in: IEEE Conference on Computer Vision and Pattern Recognition, San Diego, 2005, pp. 430–436.
  • Caselles, R. Kimmel, G. Sapiro, Geodesic active contours, in: Processing of IEEE International Conference on Computer Vision'95, Boston, MA, 1995, pp. 694–699.
  • Farzaneh Keyvanfard" Feature selection and classification of breast MRI image "Artificial Intelligence and Signal Processing AISP 2011 International Symposium on (2011) pp. 54 – 58
  • N. Lee et al. , "Fatty and fibroglandular tissue volumes in the breastsof women 20-83 years old: Comparison of X-ray mammography andcomputer-assisted MR imaging," Amer. J. Roentgenol. , vol. 168, pp. 501–506, 1997.
  • L. Ludemann, P. Wust, and J. Gellermann, "Perfusion measurement using DCE-MRI: Implications for hyperthermia," Int. J. Hyperthermia,vol. 24, no. 1, pp. 91–96, 2008.
  • N. Senthilkumaran et al," Edge Detection Techniques for Image segmentation – A Survey of Soft Computing Approaches" nternational Journal of Recent Trends in Engineering, Vol. 1, No. 2, May 2009
  • A. Korpel, " Acousto-Optics," in Applied Solid State Science, R. Wolfe, ed. ,vol. 3, Academic, New York (1972).
  • Shudong Wu, Feng Cheng and Francis T. S. YU, "Pattern recognition by OTF method", J. Optics (paris), vol. 20, 5, pp 201-204, 1989.
  • Joseph Rosen, "Three-dimensional optical Fourier transform and correlation", Vol. 22, No. 13, Optics Letters, 964-966, July 1, 1997
  • Ting-Chung Poon and Taegeum Kum, "Optical image recognition of three dimensional objects", Vol. 38, No. 2, Applied Optics, 370-381, 10 Jan 1999.