Image edge detection method based on synaptic plasticity mechanism

被引：0

作者：

Fang, Fang ^{[1
]}

Fan, Yingle ^{[1
]}

Liao, Jinwen ^{[1
]}

Zhang, Mengnan ^{[1
]}

机构：

[1] Institute of Intelligent Control and Robotics, Hangzhou Dianzi University, Hangzhou

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2015年 / 43卷

关键词：

Detection method; Edge detection; Image processing; Neuronal population network; Synaptic plasticity;

D O I：

10.13245/j.hust.15S1048

中图分类号：

学科分类号：

摘要：

To extract the image edge information effectively, a new method of image edge detection based on spike time dependent plasticity (STDP) and other visual mechanism was proposed. Firstly, the color opponent-process characteristic was realized by image intensity and chromaticity coding mechanism. Secondly, Log-Gabor filter was adopted to realize the orientation selectivity of visual system. Then, a neuronal population network with the characteristic of STDP was proposed, which used the relevance of the asynchronous pulse spiking between neurons and visual contour to strengthen the edge information. Finally, spiking times were recorded for the first spiking time decoding to obtain the edge information. Taking the micrograph for example, the result shows the new method is effective in extracting edge information distinctly and completely and can retain more small details, which proposes a new way for synaptic plasticity to be applied into image processing. ©, 2015, Huazhong University of Science and Technology. All right reserved.

引用

页码：200 / 202and206

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