Three-dimensional Quantum Cellular Neural Network and Its Application to Image Processing

被引：0
|
作者：
Wang, Sen [1 ]
Cai, Li [1 ]
Cui, Huanqing [1 ]
Feng, Chaowen [1 ]
Yang, Xiaokuo [1 ]
机构：
[1] Air Force Engn Univ, Sci Coll, Xian 710051, Shaanxi, Peoples R China
来源：
2017 16TH IEEE/ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
image processing; quantum cellular neural network; cellular neural network; quantum cellular automata; SYSTEM; ARRAYS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A three-dimensional quantum cellular neural network is proposed by using the quantum cellular automata as neuron cells. The three-dimensional quantum cellular neural network consists of two layers of quantum cellular automata array and possesses the A cloning template, B cloning template, and threshold. The image processing functions such as hole filling and corner detecting were performed by using the polarization of quantum cellular automata as pixel value and selecting different cloning templates and thresholds. The SIMULINK model is employed to simulate image processing functions and the simulation results demonstrate the effectiveness of the proposed quantum cellular neural networks.
引用
收藏
页码：411 / 415
页数：5
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