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• [P396] An Improved Canny Edge Detection Application for Asphalt Concrete
  Author(s): Sos S. Agaian, Ali Almuntashri, A. T. Papagiannakis
  
  

  Abstract
  In this paper we introduce an improved Canny edge detection algorithm and an edge preservation filtering procedure for Asphalt Concrete (AC) applications. Datasets from Asphalt Concrete-images were randomly selected to test this algorithm. Computer simulations show that that the improved algorithm can make up for the disadvantages of Canny algorithm, and can detect edges of Asphalt Concrete-images effectively and is not time-consuming. Particularly, it has been shown that the presented algorithm can not only eliminate noises effectively but also protect unclear edges.

  
   

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