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会议论文 [37]
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Fusion method of multispectral and panchromatic images based on NSST and improved PCNN
会议论文
Guilin, China, 2021-06-04
作者:
Song, Chong
;
Zeng, Litang
;
Jiang, Kai
;
Liu, Zhaohui
;
Zhou, Liang
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/11/22
Image fusion
Improved NSST
PCNN
DC-CASSI
Research on spatial frequency motivated gray level image fusion based on improved PCNN
会议论文
2013 International Conference on Information Science and Cloud Computing Companion, ISCC-C 2013, Guangzhou, China, December 7, 2013 - December 8, 2013
作者:
Wang, Nianyi
;
Ma, Yide
;
Wang, Weilan
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2017/01/18
Image fusion
Complex networks
Image processing
Neural networks
Computation complexity
Effect evaluation
Gray level image
Image fusion methods
Pulse coupled neural network
Robustness tests
Spatial frequency
Weber-Fechner laws
Spiking cortical model for multifocus image fusion
会议论文
International Workshop on Information, Intelligence and Computing (IWIIC), Guilin Univ Elect Technol, Guilin, PEOPLES R CHINA, OCT, 2012
作者:
Wang, NY
;
Ma, YD
;
Zhan, K
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2017/01/18
Spiking cortical model (SCM)
Multifocus image fusion
Image clarity
Time matrix
Pulse coupled neural network (PCNN)
Shadow Detection in Color Aerial Sensing Images Based on Adaptive Pulse Coupled Neural Network
会议论文
International Conference on Audio, Language and Image Processing
作者:
Min, Bu[1]
;
Wei, Huang[2]
;
Chen, Wang[3]
;
Yao, Lu[4]
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/30
shadow detection
pulse coupled neural network (PCNN)
color aerial sensing images
Multisource image fusion based on DWT and simplified pulse coupled neural network
会议论文
2013 2nd International Conference on Frontiers of Mechanical Engineering and Materials Engineering, MEME 2013, Hong kong, October 12, 2013 - October 13, 2013
作者:
Wang, Nian Yi
;
Wang, Wei Lan
;
Guo, Xiao Ran
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  |  
浏览/下载:3/0
  |  
提交时间:2017/01/18
Discrete wavelet transforms
Image fusion
Mechanical engineering
Neural networks
Cortical models
Low and high frequencies
Multi resolution representation
Multi-scale Decomposition
Multi-source images
Pulse coupled neural network
Simplified pcnn
Spatial frequency
Multimodal medical image fusion using improved multi-channel PCNN
会议论文
2nd International Conference on Biomedical Engineering and Biotechnology (iCBEB), Wuhan, PEOPLES R CHINA, 2014-01-01
作者:
Zhao, Yaqian
;
Zhao, Qinping
;
Hao, Aimin
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/01/06
Multimodal medical image fusion
pulse coupled neural network
multi-channel PCNN
A new image fusion method based on improved PCNN and multiscale decomposition
会议论文
2013 3rd International Conference on Materials and Products Manufacturing Technology, ICMPMT 2013, Guangzhou, China, September 25, 2013 - September 26, 2013
作者:
Wang, Nian Yi
;
Wang, Wei Lan
;
Guo, Xiao Ran
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2017/01/18
Image fusion
Industrial research
Manufacture
Neural networks
Cortical models
Image fusion algorithms
Low and high frequencies
Multi-scale Decomposition
Multifocus image fusion
Non subsampled contourlet transform (NSCT)
Non-sub-sampled contourlet transforms
Pulse coupled neural network
Antinoise Texture Retrieval Based on PCNN and One-Class SVM
会议论文
12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, SPAIN, JUN 12-14, 2013
作者:
Tian, L
;
Ma, YD
;
Liu, L
;
Zhan, K
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  |  
浏览/下载:5/0
  |  
提交时间:2017/01/18
Pulse-coupled neural network
Texture retrieval
One-class support vector machine
Feature extraction
Improved Genetic Algorithm to Calibration of The Pulse Coupled Neural Network Parameter
会议论文
作者:
Feng, Ruicheng
;
Li, Haiyan
;
Rui, Zhiyuan
;
Chen, Ruisheng
;
Zhou, Baocheng
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/11/15
pulse coupled neural network
genetic algorithm
optimal family genetic algorithm
motion detection
Improved genetic algorithm to calibration of the pulse coupled neural network parameter
会议论文
Dalian, China, March 30, 2013 - March 31, 2013
作者:
Feng, Rui Cheng
;
Li, Hai Yan
;
Rui, Zhi Yuan
;
Chen, Rui Sheng
;
Zhou, Bao Cheng
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2020/11/15
Image recognition
Neural networks
Optimization
Edge information
Motion detection
Moving objects
Multi-modal
Pulse coupled neural network
Recognition accuracy
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