Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Edge Detection of Wide Band Width Spatial Frequency Components by the Diffusion Neural Network

확산 신경 회로망을 이용한 광대역 공간 주파수 성분의 윤곽선 검출

  • Lee, Choong-Ho (Dept. of Electronics Engineering, Pusan National Univ.) ;
  • Kwon, Yool (Dept. of Electronics Engineering, Pusan National Univ.) ;
  • Kim, Jae-Chang (Dept. of Electronics Engineering, Pusan National Univ.) ;
  • Nam, Ki-Gon (Dept. of Electronics Engineering, Pusan National Univ.) ;
  • Yoon, Tae-Hoon (Dept. of Electronics Engineering, Pusan National Univ.)
  • Published : 1995.01.01
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Abstract

The diffusion neural network forms a Gaussian distribution by transferring an excitation to the surround. A DOG(difference of two Gaussians) is obtained by the diffusion neural network. This type of the DOG, which can detect the intensity changes of an image, has the same shape as a LOG(Laplacian of a Gaussian:${\Delta}^2$G) and narrow band pass characteristics. In this paper we show that another type of the DOG which has a very narrow Gaussian for the excitatory and a very wide Gaussian for the inhibitory, can be formed by the diffusion process of this network, This type of the DOG has a wide band width in spatial frequency domain and can be used efficiently in detecting special type of edges.

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