Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 239-241.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

Image Edge Detection Method Based on Kernel Density Estimation

ZHOU Jian, XU Hai-qin   

  1. College of Information Sciences and Technology,Donghua University,Shanghai 201620,China
  • Online:2018-06-20 Published:2018-08-03

Abstract: There are many algorithms for image edge detection.Among them,the image edge detection algorithms based on Sobel operator,Laplace operator and Canny operator are classic.But the proposed method is different from these differential operator methods.Pixel carries out kernel density estimation in the small window area to obtain a kernel density map.Then the kernel density map is used to select the appropriate bandwidth or threshold to control the image edge detection.Experimental results show that this method is feasible,simple and fast.

Key words: Bandwidth, Image edge detection, Kernel density estimation, Threshold

CLC Number: 

  • TP751
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