An Overview of Image Segmentation Based on Pulse-Coupled Neural Network

被引：0
|
作者：
Jing Lian
Zhen Yang
Jizhao Liu
Wenhao Sun
Li Zheng
Xiaogang Du
Zetong Yi
Bin Shi
Yide Ma
机构：
[1] Lanzhou Jiaotong University,School of Electronic and Information Engineering
[2] Lanzhou University,School of Information Science and Engineering
[3] Sun Yat-sen University,School of Data Science and Computer Science
[4] Gansu Provincial Hospital,Equipment Management Department
来源：
Archives of Computational Methods in Engineering | 2021年 / 28卷
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摘要：
Recent many researchers focus on image segmentation methods due to the rapid development of artificial intelligence technology. Hereinto, pulse-coupled neural network (PCNN) has a great potential based on the properties of neuronal activities. This paper elaborates internal behaviors of the PCNN to exhibit its image segmentation abilities. There are three significant parts: dynamic properties, parameter setting and complex PCNN. Further, we systematically provide the related segmentation contents of the PCNN, and hope to help researchers to understand suitable segmentation applications of PCNN models. Many corresponding examples are also used to exhibit PCNN segmentation effects.
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页码：387 / 403
页数：16
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