Total views : 358

Particle Swarm Optimization based Edge Detection Algorithms for Computer Tomography Images


  • School of Information Technology and Engineering, VIT University, Vellore - 632014, Tamil Nadu, India


Background/Objectives: Detection of image edges plays an important role in medical image processing, segmentation and computer vision applications. Methods: It is necessary to have a better edge detection algorithm for the diagnosis of the abnormalities in the images and based on the diagnosis, a treatment procedure can be decided. The existing edge detection algorithms like Canny and Sobel are lack in Edge Preservation Factor (EPF) and they pose a low Signal to Noise Ratio (SNR). These algorithms are not good for noisy images. Findings: To overcome these issues, in this paper a Particle Swarm Optimization (PSO) based algorithm is proposed. Improvements/Applications: Experimental result proves that the PSO is better when compared with the existing edge detection techniques.


CT Images, Edge Detection, Particle Swarm Optimization.

Full Text:

 |  (PDF views: 524)


  • Gudmundsson M, El-Kwae EA, Kabuka MR. Edge detection in medical images using a Genetic Algorithm. IEEE Transactions on Medical Imaging.1998 Jun; 17(3):469–74.
  • Jiang W, Lam KM, Shen TZ. Efficient edge detection using simplified Gabor wavelets. IEEE Transactions on Systems, Man and Cybernetics. Part B (Cybernetics). 2009 Aug; 39(4):1036–47.
  • Sen D, Pal SK. Gradient histogram: Thresholding in a region of interest for edge detection. Image and Vision Computing. 2010 Apr; 28(4):677–95.
  • Lim DH. Robust edge detection in noisy images. Computational Statistics and Data Analysis. 2006 Feb; 50(3):803–12.
  • Setayesh M, Zhang M, Johnston M. Detection of continuous, smooth and thin edges in noisy images using constrained Particle Swarm Optimisation. Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation; 2011 Jul; p. 45–52.
  • Setayesh M, Johnston M, Zhang M. Edge and corner extraction using Particle Swarm Optimisation. Springer Berlin Heidelberg: Australasian Joint Conference on Artificial Intelligence; 2010 Dec. p. 323–33.
  • Acharjya PP, Das R, Ghoshal D. Study and comparison of different edge detectors for image segmentation. Global Journal of Computer Science and Technology. 2012; 12(13):1–5.
  • Maini R, Aggarwal H. Study and comparison of various image edge detection techniques. IJIP. 2009 Mar; 3(1):1–11.
  • Setayesh M, Zhang M, Johnston M. Improving edge detection using Particle Swarm Optimisation. 2010 25th International Conference on Image and Vision Computing New Zealand (IVCNZ); 2010 Nov. p. 1–8.
  • Huertas A, Medioni G. Detection of intensity changes with sub-pixel accuracy using Laplacian-Gaussian masks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1986 Sep; 8(5):651–64.
  • Saini S, Kasliwal B, Bhatia S. Comparative study of image edge detection algorithms. 2013 Nov. p. 1–5. arXiv preprint arXiv:1311.4963.
  • Bin L, Yamane MS. Comparison for image edge detection algorithms. International Organization of Scientific Research. Journal of Computer Engineering. 2012 Jul-Aug; 2(6):1–4.
  • Shrivakshan GT, Chandrasekar C. A comparison of various edge detection techniques used in image processing. International Journal of Computer Science Issues. 2012 Sep; 9(5):269–76.
  • Vincent OR, Folorunso O. A descriptive algorithm for Sobel image edge detection. Proceedings of Informing Science and IT Education Conference (InSITE). 2009 Jun; 40:97–107.
  • Gupta S, Mazumdar SG. Sobel edge detection algorithm. International Journal of Computer Science and Management Research. 2013 Feb; 2:1578–83.
  • Rini DP, Shamsuddin SM, Yuhaniz SS. Particle Swarm Optimization: Technique, system and challenges. International Journal of Computer Applications. 2011 Jan; 14(1):19–26.
  • Yan X, Wu Q, Liu H, Huang W. An improved Particle Swarm Optimization algorithm and its application. International Journal of Computer Science. 2013; 10(1):316–24.
  • Abbasi TA, Abbasi MU. A novel FPGA-based architecture for Sobel edge detection operator. International Journal of Electronics. 2007 Oct; 94(9):889–96.
  • Kennedy J, Eberhart RC, Shi Y. Swarm intelligence. Morgan Kaufmann.1st ed; 2001 Apr.
  • AlRashidi MR, El-Hawary ME. A survey of Particle Swarm Optimization applications in electric power systems. IEEE Transactions on Evolutionary Computation. 2009 Aug; 13(4):913–8.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.