| Image Edge Detection Based on Oscillation |
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| 作者姓名： | 范宏 王直杰 |
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| 作者单位： | [1]Glorious Sun School of Business and Management, Donghua University, Shanghai 200051 [2]College of Information Science and Technology, Donghua University, Shanghai 200051 |
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| 摘 要： | IntroductionArtificial neural networks can be dividedintotwo classes :rate code neural networks and pulse-based neural networks .Inrate code neural networks the outputs of the neurons arecontinuous , whereas in pulse-based neural networks theneurons emit pulses . Although rate code neural models havebeen well studied, researchers continue to find the evidencerecently that in many cases the brain may accomplishcomputations on pulses(action potential) . Great effort hasbeen devoted towards the a…
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| 关 键 词： | 图象边缘检测 脉冲神经网络 同步性 灰色图像 象素 |
| 收稿时间： | 2003-09-12 |
Image Edge Detection Based on Oscillation |
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| FAN Hong,WANG Zhi-jie.Image Edge Detection Based on Oscillation[J].Journal of Donghua University,2005,22(3):88-91. |
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| Authors: | FAN Hong WANG Zhi-jie |
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| Abstract: | A new method for image edge detection based on a pulse neural network is proposed in this paper. The network is locally connected. The external input of each neuron of the network is gray value of the corresponding pixel. The synchrony of the neuron and its neighbors is detected by detection neurons. The edge.of the image can be read off at minima of the total activity of the detection neurons. |
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| Keywords: | image edge detection pulse neural network synch rony |
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