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Automatic checkerboard corner detection combined with gray features and energy minimization (ADGE) 会议论文
Beijing, China, 2021-06-20
作者:  Wang, YuanZhang;  Gao, Xiaohui
收藏  |  浏览/下载：10/0  |  提交时间：2022/01/30
数字散斑相关方法及其在桥梁检测中的应用研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2018
作者:  李凯强;  阎述学
收藏  |  浏览/下载：17/0  |  提交时间：2018/06/16
Fast Hardware Implementation of Sub-pixel Search Algorithm for Digital Speckle Correlation Method 会议论文
作者:  Kuang, Zejie;  Zhang, Guohe;  Liang, Feng
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/19
基于直线特征的异源景象匹配技术研究 学位论文
硕士: 中国科学院大学, 2015
作者:  王力
收藏  |  浏览/下载：43/0  |  提交时间：2016/04/11
Fast digital image stabilization based on characteristic peak of projection matching 期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2015, 卷号: 23, 期号: 6, 页码: 1768-1773
作者:  Zhang, Y.-C.;  F. Wang;  J. Zhao;  J.-Z. Liu;  F. Wang and Q. Sun
收藏  |  浏览/下载：12/0  |  提交时间：2016/08/24
SUB-PIXEL MAPPING BASED ON MEMETIC ALGORITHM FOR HYPERSPECTRAL IMAGERY 会议论文
作者:  Zhang, Yipeng;  Zhong, Yanfei
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/05
环境减灾卫星多光谱CCD影像自动几何精纠正与正射校正系统 期刊论文
生态学报, 2014, 卷号: 34, 期号: 24, 页码: 7181-7191
作者:  边金虎;  李爱农;  雷光斌;  张正健;  吴炳方
收藏  |  浏览/下载：32/0  |  提交时间：2016/11/29
Binocular three-dimensional measurement system using a Dammann grating 会议论文
conference on holography, diffractive optics, and applications vi
作者:  Liu, Kun;  Zhou, Changhe;  Wei, Shengbin;  Wang, Shaoqing;  Li, Shubin
收藏  |  浏览/下载：19/0  |  提交时间：2016/11/28
面内位移测量的基于梯度的数字图像相关方法 期刊论文
2010, 2010
潘兵; 续伯钦; 谢惠民; 戴福隆; PAN Bing; XIE Hui-min; XU Bo-qin; DAI Fu-long
收藏  |  浏览/下载：3/0
An image matching algorithm based on sub-block coding (EI CONFERENCE) 会议论文
2nd International Workshop on Computer Science and Engineering, WCSE 2009, October 28, 2009 - October 30, 2009, Qingdao, China
Feng Y.; Li S.; Dai M.
收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25
In order to improve the speed of matching algorithm and simplify the processing of existing sub-block coding matching  a new template matching method combined local gray value encoding matching and phase correlation is proposed. Matching process is divided into rough matching and fine matching. Rough matching divides the image into certain size blocks called R-block  sums the gray value of each R-block pixel  encodes the R-block according to the gray value distribution of R-block with the adjacent R-block  and matches by step between the template and each search sub-image. Then  fine matching results are obtained using phase correlation according to initial match parameters. The time complexity of the proposed method is (M2) .The new algorithm is faster than traditional algorithm by two orders of magnitude  and the speed has improved twice compared with existing sub-block coding method. Experiments demonstrate that the new algorithm is robust to the linear transformation of pixel grey value and image noise  and it also has the stability of small-angle rotation. 2009 IEEE.  

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