Automated Edge Detection Using Convolutional Neural Network

  title={Automated Edge Detection Using Convolutional Neural Network},
  author={Mohamed A. El-Sayed},
The edge detection on the images is so important for image processing. It is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. Currently, there is not a single edge detector that has both efficiency and reliability. Traditional differential filter-based algorithms have the advantage of theoretical strictness, but require excessive postprocessing. Proposed CNN technique is used to realize edge detection task… CONTINUE READING
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Abdel-Khalek “Novel Approach of Edges Detection for Digital Images Based On Hybrid Types of Entropy

  • Mohamed A. El-Sayed, S.F.Bahgat
  • International Appl. Math. Inf. Sci. 7,
  • 2013
1 Excerpt

Using Renyi's Entropy For Edge Detection In Level Images

  • Mohamed A. El-Sayed, Mohamed A. Khafagy
  • International Journal of Intelligent Computing…
  • 2011
1 Excerpt

Tutorial on Deep Learning and Applications

  • Honglak Lee
  • NIPS Workshop on Deep Learning and Unsupervised…
  • 2010
1 Excerpt

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