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

Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique

Print
PDF
International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 67 - Number 16
Year of Publication: 2013
Authors:
Jeetu Singh
Ankit Vidyarthi
10.5120/11479-7078

Jeetu Singh and Ankit Vidyarthi. Article: Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique. International Journal of Computer Applications 67(16):21-24, April 2013. Full text available. BibTeX

@article{key:article,
	author = {Jeetu Singh and Ankit Vidyarthi},
	title = {Article: Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {67},
	number = {16},
	pages = {21-24},
	month = {April},
	note = {Full text available}
}

Abstract

The detection of the edge is one of the important part in the field of Image Processing. In this paper we proposed an improved ACO algorithm for digital images edge classification. The classification is basically done as per the natural phenomenon of the movement of ants for searching paths. We have proposed a new modified ACO algorithm for better visual effects and compared the experimental results with previous standard one.

References

  • M. Dorigo and S. Thomas, Ant Colony Optimization. Cambridge: MIT Press, 2004.
  • H. -B. Duan, Ant Colony Algorithms: Theory and Applications. Beijing: Science Press, 2005.
  • S. L. Hegarat-Mascle, A. Kallel, and X. Descombes, Ant colony optimization for image regularization based on a nonstationary Markov modeling, IEEE Trans. on Image Processing, Mar. 2007, vol. 16, pp. 865–878.
  • Y. T. Kim, Contrast Enhancement Using Brightness Preserving Bi-Histogram Equalization, IEEE Trans. ,Consumer Electronics, 1997, vol. 43, no. 1, pp. 1-8.
  • H. Ibrahim, and N. S. P. Kong, Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement, IEEE Trans. , Consumer Electronics, Nov. 2007, vol. 53, no. 4, pp. 1752–1758.
  • Rafael S. Parpinelli, Heitor S. Lopes, Alex A. Freitas, Data Mining with an Ant Colony Optimization Algorithm , IEEE Trans. , Data Mining, 2010.
  • Anna Veronika,C. Baterina,Carlos. M. Oppus, Ant colony Optimization for Image Edge Detection, WSEAS International Conference, 2010.
  • A. Rezaee, Extracting Edge of Images with Ant Colony, Journal of Electrical Engineering, Vol. 59, No. 1, 2008, pp. 57-59.
  • J. Tian, W. Yu, and S. Xie, An Ant Colony Optimization Algorithm for Image Edge Detection, IEEE Congress on Evolutionary Computation, 2008.
  • H. Nezamabadi-pour, S. Saryazdi, and E. Rashedi, Edge Detection Using Ant Algorithms, Soft Computing, Vol. 10, 2006, pp. 623-628.
  • X. Zhuang, Edge Feature Extraction in Digital Images with the Ant Colony System, IEEE International Conference in Computational Intelligence for Measurement Systems and Applications, 2004.
  • Y. T. Kim, Contrast Enhancement Using Brightness Preserving Bi-Histogram Equalization, IEEE Trans. ,Consumer Electronics, 1997, vol. 43, no. 1, pp. 1-8.
  • Jing Tian, Weiyu Yu and Shengli Xie, An Ant Colony Optimization Algorithm For Image Edge Detection, IEEE 2008.