International Journal of Computer
Trends and Technology

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Volume 4 | Issue 8 | Year 2013 | Article Id. IJCTT-V4I8P114 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I8P114

An Efficient Edge Detection Approach based on Bacterial Foraging Optimization

Kiranjeet Kaur, Sheenam Malhotra

Citation :

Kiranjeet Kaur, Sheenam Malhotra, "An Efficient Edge Detection Approach based on Bacterial Foraging Optimization," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 8, pp. 2471-2475, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I8P114

Abstract

Edge Detection is an important task in the image processing. Edge detection of noisy images is simpler but after adding noise image gets degraded so, edge detection is more difficult. This paper proposed an enhanced edge detection algorithm BFO using combination of three filters. In this firstly add salt & pepper noise then filter this image by using Gaussian filter. After filtering with Gaussian filter, two more filters used that are bilateral and trilateral to make image noise free. Then we use BFO for edge detection. We can compare our results by calculating PSNR & MSE values and proof that our results are better than the previous methods.

Keywords

Edge Detection, BFO, Gaussian Filter, Bilateral Filter, Trilateral Filter, PSNR,MSE.

References

[1] M Rama Bai , Dr V Venkata Krishna  and J SreeDevi , “A new Morphological Approach for Noise Removal cum Edge Detection,” IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 6, November 2010.
[2] Tzu-Heng Henry Lee and Taipei,  Taiwan ROC, “Edge Detection Analysis,” IJCSI  International Journal of Computer Science Issues, Vol. 5, Issue 6, No 1,  September 2012.
[3] Mitra Basu, Senior Member IEEE, “Gaussian-Based Edge-Detection Methods—A Survey,” IEEE Transactions on System,man,and cybernetics-part c:Application and Reviews,Vol. 32, No. 3, August 2002.
[4] Mohamed A. El-Sayed, “A New Algorithm Based Entropic Threshold for  Edge Detection in Images,” IJCSI  International Journal of Computer Science Issues, Vol. 8, Issue 5, No 1,  September 2011.
[5] C. Tomasi and R. Manduchi, “ Bilateral Filtering for Gray and Color Images,” Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay,India.
[6] Hiroyuki Takeda, Sina Farsiu and Peyman Milanfar, “Higher Order Bilateral Filters and Their Properties,” Electrical Engineering Department, University of California, 1156 High St., Santa Cruz, CA, USA
[7] Akansha Mehrotra,Krishna Kant Singh,M.J.Nigam, “A Novel Algorithm for Impulse Noise Removal and Edge Detection,” International Journal of Computer Applications (0975 – 8887) Volume 38– No.7, January 2012.
[8] Swagatam Das, Arijit Biswas, Sambarta Dasgupta, and Ajith Abraham, “Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications”
[9] M.Y.Jiang,and D.F.Yuan “A multi-grade mean morphologic edge detection” 6th International Conference on Signal Processing Beijing, China, pp.1079-1082, 2002.
[10] Hossein Nezamabadi-pour · Saeid Saryazdi Esmat Rashedi, Edge detection using ant algorithm”, in proc. of Springer-Verlag, pp.623- 628, 2005.
[11] Raymond H. Chan, Chung-Wa Ho, and Mila Nikolova,“Salt-andpepper noise removal by median-type noise detectors and detailpreserving regularization”,IEEE Transactions on Image Processing, vol. 14, no. 10, pp. 1479–1485, Oct. 2005.
[12] X. Zhuang, “Edge Feature Extraction in Digital Images with the Ant  Colony System” in proc. of the IEEE international Conference an computational intelligence for Measurement Systems and Applications, pp. 133-136,2004.
[13] Hossein Nezamabadi-pour,Saeid Saryazdi Esmat Rashedi, “Edge detection using ant algorithms”, in proc. of Springer-Verlag, pp.623-628, 2005.
[14] Feng-ying Cui ,Li-jun Zou and Bei Song , “Edge Feature Extraction Based on digital Image processing techniques,” Proc. IEEE International conference Automation and logistics, Qingdao,China September 2008.