An Efficient Edge Detection Approach based on Bacterial Foraging Optimization
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - August Issue 2013 by IJCTT Journal|
|Volume-4 Issue-8 |
|Year of Publication : 2013|
|Authors :Kiranjeet Kaur, Sheenam Malhotra|
Kiranjeet Kaur, Sheenam Malhotra "An Efficient Edge Detection Approach based on Bacterial Foraging Optimization "International Journal of Computer Trends and Technology (IJCTT),V4(8):2471-2475 August Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
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.
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Keywords : — Edge Detection, BFO, Gaussian Filter, Bilateral Filter, Trilateral Filter, PSNR,MSE.