CORC

在结果中检索

CORC

浏览/检索结果: 共8条，第1-8条 帮助

已选(0)清除 条数/页：   排序方式：
Feature extraction method of wind turbine blade surface scratches based on image processing 期刊论文
Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 卷号: 41, 期号: 12, 页码: 278-287
作者:  Li, Wanrun;  Zhang, Jianfei;  Wang, Xueping;  Du, Yongfeng
收藏  |  浏览/下载：6/0  |  提交时间：2022/02/17
A two-level nested model for extracting positive and negative terrains combining morphology and visualization indicators 期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 109, 页码: 14
作者:  Li, Jingxin;  Zhang, Hongqi;  Xu, Erqi
收藏  |  浏览/下载：18/0  |  提交时间：2020/05/19
Theoretical Model of EnDP to Achieve Energy-Efficient SRAM 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2017, 卷号: 64, 页码: 2049-2062
作者:  Zhang, Jie;  Li, Dan;  Fan, Shiquan;  Guo, Zhuoqi;  Hu, Weibo
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/26
Estimation Algorithm for Adaptive Threshold of Hybrid Particle Swarm Optimization Wavelet and Its Application in Partial Discharge Signals De-noising 期刊论文
Gaodianya Jishu/High Voltage Engineering, 2017, 卷号: 43, 期号: 5, 页码: 1485-1492
作者:  Li, Qingquan;  Qin, Bingyang;  Si, Wen;  Wang, Ruoxi;  Liu, Bin
收藏  |  浏览/下载：33/0  |  提交时间：2019/12/12
Rate-Distortion Analysis of Dead-Zone Plus Uniform Threshold Scalar Quantization and Its Application-Part I: Fundamental Theory 期刊论文
ieee transactions on image processing, 2013
Sun, Jun; Duan, Yizhou; Li, Jiangtao; Liu, Jiaying; Guo, Zongming
收藏  |  浏览/下载：5/0  |  提交时间：2015/11/10
De-noising based on wavelet analysis and Bayesian estimation for low-dose X-ray CT 会议论文
作者:  Ye, Fang;  Yabin, Zhou;  Dongwei, Ge;  Zhan, Zhou
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/18
Real time tracking by LOPF algorithm with mixture model (EI CONFERENCE) 会议论文
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, November 15, 2007 - November 17, 2007, Wuhan, China
Meng B.; Zhu M.; Han G.; Wu Z.
收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25
A new particle filter-the Local Optimum Particle Filter (LOPF) algorithm is presented for tracking object accurately and steadily in visual sequences in real time which is a challenge task in computer vision field. In order to using the particles efficiently  we first use Sobel algorithm to extract the profile of the object. Then  we employ a new Local Optimum algorithm to auto-initialize some certain number of particles from these edge points as centre of the particles. The main advantage we do this in stead of selecting particles randomly in conventional particle filter is that we can pay more attentions on these more important optimum candidates and reduce the unnecessary calculation on those negligible ones  in addition we can overcome the conventional degeneracy phenomenon in a way and decrease the computational costs. Otherwise  the threshold is a key factor that affecting the results very much. So here we adapt an adaptive threshold choosing method to get the optimal Sobel result. The dissimilarities between the target model and the target candidates are expressed by a metric derived from the Bhattacharyya coefficient. Here  we use both the counter cue to select the particles and the color cur to describe the targets as the mixture target model. The effectiveness of our scheme is demonstrated by real visual tracking experiments. Results from simulations and experiments with real video data show the improved performance of the proposed algorithm when compared with that of the standard particle filter. The superior performance is evident when the target encountering the occlusion in real video where the standard particle filter usually fails.  
Vertical-external-cavity surface-emitting lasers operating at different wavelength: Design, numerical simulation, and characteristics (EI CONFERENCE) 会议论文
Optoelectronic Materials and Devices for Optical Communications, November 7, 2005 - November 10, 2005, Shanghai, China
Yan C.; Qin L.; Shan X.; Lu G.; He C.; Sun Y.; Li T.; Ning Y.; Wang L.; Jiang H.
收藏  |  浏览/下载：12/0  |  提交时间：2013/03/25

©版权所有 ©2017 CSpace - Powered by CSpace