Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)
- Volume 30B Issue 1
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- Pages.90-98
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- 1993
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- 1016-135X(pISSN)
Image Processing by a Diffusion Neural Network
확산뉴런망을 이용한 영상처리
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Kwon, Yool
(Dept. of Elec. Eng., Pusan Nat'l Univ.)
;
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Nam, Ki-Gon
(Dept. of Elec. Eng., Pusan Nat'l Univ.)
;
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Yoon, Tae-Hoon
(Dept. of Elec. Eng., Pusan Nat'l Univ.)
;
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Kim, Jae-Chang
(Dept. of Elec. Eng., Pusan Nat'l Univ.)
- Published : 1993.01.01
Abstract
A Gaussian is formed by diffusing a spot excitation. In this paper, a diffusion neural network model is derived from the diffusion equation. And it is shown that a difference of two Gaussians(DOG) may have the same shape as a Laplacian of Gaussian(LOG), A neural network model executing a DOG convolution by diffusing an external excitation is proposed. By this model intensity changes of image may be detected. This model may be implemented economically because each neuron has only four fixed-valued synapes.
Keywords