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- Title
An Overview of Image Segmentation Based on Pulse-Coupled Neural Network.
- Authors
Lian, Jing; Yang, Zhen; Liu, Jizhao; Sun, Wenhao; Zheng, Li; Du, Xiaogang; Yi, Zetong; Shi, Bin; Ma, Yide
- Abstract
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.
- Subjects
ARTIFICIAL intelligence
- Publication
Archives of Computational Methods in Engineering, 2021, Vol 28, Issue 2, p387
- ISSN
1134-3060
- Publication type
Article
- DOI
10.1007/s11831-019-09381-5