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CORC

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IMAGE IDENTIFICATION OF A MOVING OBJECT BASED ON AN IMPROVED CANNY EDGE DETECTION ALGORITHM 会议论文
PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2018, VOL 4A, 2019-01-01
作者:  Liu, Yang;  Sun, Lingyu;  Li, Lijun;  Zhang, Yiben;  Dai, Zongmiao
收藏  |  浏览/下载：18/0  |  提交时间：2019/12/30
Low-cycle fatigue estimation of welded beam-to-column connection in steel moment resisting frames using equivalent structural stress 期刊论文
Tumu Gongcheng Xuebao/China Civil Engineering Journal, 2018, 卷号: 51, 页码: 21-27
作者:  Li, Wanrun;  Wang, Hui;  Liu, Yufei;  Fang, Zhao;  Li, Aiqun
收藏  |  浏览/下载：5/0  |  提交时间：2020/11/14
Development of a hybrid parallel MCV-based high-order global shallow-water model 期刊论文
The Journal of Supercomputing, 2017, 卷号: 73, 期号: 6, 页码: 2823–2842
作者:  Peng Zhang;  Chao Yang;  Chungang Chen;  Xingliang Li;  Xueshun Shen
收藏  |  浏览/下载：21/0  |  提交时间：2017/07/08
A Non-oscillatory Multi-Moment Finite Volume Scheme with Boundary Gradient Switching 期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2017, 卷号: 72, 页码: 1146-1168
作者:  Deng, Xi;  Sun, Ziyao;  Xie, Bin;  Yokoi, Kensuke;  Chen, Chungang
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26
Development of a hybrid parallel MCV-based high-order global shallow-water model 期刊论文
JOURNAL OF SUPERCOMPUTING, 2017, 卷号: 73, 页码: 2823-2842
作者:  Zhang, Peng;  Yang, Chao;  Chen, Chungang;  Li, Xingliang;  Shen, Xueshun
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26
A Slope Constrained 4th Order Multi-Moment Finite Volume Method with WENO Limiter 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2015, 卷号: 18, 期号: 4, 页码: 901-930
作者:  Sun ZY;  Teng HH(滕宏辉);  Xiao F
收藏  |  浏览/下载：79/0  |  提交时间：2016/01/08
A high-order multi-moment constrained finite-volume global shallow-water model on the Yin-Yang grid 期刊论文
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2015, 卷号: 141, 期号: [db:dc_citation_issue], 页码: 2090-2102
作者:  Li, Xingliang;  Chen, Chungang;  Xiao, Feng;  Shen, Xueshun
收藏  |  浏览/下载：8/0  |  提交时间：2019/12/02
Global shallow water models based on multi-moment constrained finite volume method and three quasi-uniform spherical grids 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2014, 卷号: 271, 期号: [db:dc_citation_issue], 页码: 191-223
作者:  Chen, Chungang;  Li, Xingliang;  Shen, Xueshun;  Xiao, Feng
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/03
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.; Wang M.-J.; Han G.-L.
收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25
Being an efficient method of information fusion  image fusion has been used in many fields such as machine vision  medical diagnosis  military applications and remote sensing.In this paper  Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing  including segmentation  target recognition et al.  and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First  the two original images are decomposed by wavelet transform. Then  based on the PCNN  a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength  so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So  the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment  the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range  which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore  by this algorithm  the threshold adjusting constant is estimated by appointed iteration number. Furthermore  In order to sufficient reflect order of the firing time  the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved  each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules  the experiments upon Multi-focus image are done. Moreover  comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.  
Global advection transport model on hexagonal-pentagonal geodesic grid by multi-moment scheme 会议论文
International Conference on Computational Science (ICCS) on the Ascent of Computational Excellence, Singapore, SINGAPORE, JUN 01-03, 2011
作者:  Bin JZ(宾聚忠);  Chen CG(陈春刚);  Xiao F(肖锋)
收藏  |  浏览/下载：30/0  |  提交时间：2013/02/26

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