An Overview of PCNN Model's Development and Its Application in Image Processing

作者：Yang, Zhen; Lian, Jing; Guo, Yanan; Li, Shouliang; Wang, Deyuan; Sun, Wenhao; Ma, Yide^*

来源：Archives of Computational Methods in Engineering, 2019, 26(2): 491-505.

DOI：10.1007/s11831-018-9253-8

• COUPLED NEURAL-NETWORKS
• UNIT-LINKING PCNN
• FUSION ALGORITHM
• SEGMENTATION
• RECOGNITION
• TRANSFORM
• WAVELET

In this paper, recent pulse coupled neural networks (PCNN) model's development, especially in the fields related to the image processing, were surveyed. Our review aims to provide a comprehensive and systematic analysis of selected researches from past few decades, having powerful methods to infer the area of study. In this paper, all selected references are categorized in three groups, on the basis of neurons structure, parameters setting, and the inherent characteristics of PCNN. Various applications of these models were mentioned and underlying difficulties, limitations, merits and disadvantages were discussed in applying these models. The researchers will find it helpful to choose and use the appropriate model for a better application.

• 出版日期2019-4
• 单位兰州大学