Edge detection of leucocythemia marrow images based on spiking neural network

被引：0
作者：
Lin, Xuan [1 ,2 ]
Li, Hui [1 ,2 ]
Cai, Jianyong [1 ,2 ]
Wu, Qingxiang [1 ,2 ]
机构：
[1] Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, School of Physics and Opto-Electronics Technology, Fujian Normal University, Fuzhou
[2] Fujian Provincial Key Laboratory of Photonic Technology, School of Physics and Opto-Electronics Technology, Fujian Normal University, Fuzhou
来源：
Zhongguo Jiguang/Chinese Journal of Lasers | 2009年 / 36卷 / SUPPL. 2期
关键词：
Edge detection; Image processing; Image segmentation; Leucocythemia marrow image; Spiking neural network;
D O I：
10.3788/CJL200936s2.0346
中图分类号：
学科分类号：
摘要：
The structure of spiking neural network (SNN) is presented, which is regarded as the third generation of artificial neural networks (ANNs) and established based on the simulation of network model for biological visual cortex. The conductance based on integrate-and-fire spiking neuron model is given, and then the neural network is applied to edge detection of leucocythemia marrow images. The experimental results show that SNN can be applied in leucocythemia marrow image segmentation. The lower the firing threshold is, the more details will be displayed.
引用
收藏
页码：346 / 349
页数：3
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