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  • 标题:An Efficient Edge Detection Approach based on Bacterial Foraging Optimization
  • 本地全文:下载
  • 作者:Kiranjeet Kaur ; Sheenam Malhotra
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2013
  • 卷号:4
  • 期号:8-1
  • 出版社:Seventh Sense Research Group
  • 摘要: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.
  • 关键词:Edge Detection; BFO; Gaussian Filter; Bilateral Filter; Trilateral Filter; PSNR;MSE
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