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浏览/检索结果: 共16条，第1-10条 帮助

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A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues 期刊论文  OAI收割
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 3, 页码: 14
作者:  Shu, Chang;  Li, Lin-Lin;  Li, Guoqing;  Chen, Xi;  Han, Hua
  |  收藏  |  浏览/下载：31/0  |  提交时间：2020/06/22
A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues 期刊论文  OAI收割
APPLIED SCIENCES-BASEL, 2019, 期号: 3, 页码: 14
作者:  Chang Shu;  Linlin Li;  Guoqing Li;  Xi Chen;  Hua Han
  |  收藏  |  浏览/下载：13/0  |  提交时间：2020/10/14
Evaluation of mesh- and binary-based contour propagation methods in 4D thoracic radiotherapy treatments using patient 4D CT images 期刊论文  iSwitch采集
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2017, 卷号: 36, 页码: 46-53
作者:  Ma, Yuanyuan;  Liu, Xinguo;  Dai, Zhongying;  He, Pengbo;  Yan, Yuanlin
收藏  |  浏览/下载：64/0  |  提交时间：2019/10/09
Evaluation of mesh- and binary-based contour propagation methods in 4D thoracic radiotherapy treatments using patient 4D CT images 期刊论文  OAI收割
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2017, 卷号: 36, 页码: 46-53
作者:  Ma, Yuanyuan;  Liu, Xinguo;  Dai, Zhongying;  He, Pengbo;  Yan, Yuanlin
  |  收藏  |  浏览/下载：32/0  |  提交时间：2018/05/31
An Algorithm Multi-Resolution Medical Image Registration Based on Firefly Algorithm and Powell 会议论文  OAI收割
作者:  Du Xiaogang;  Dang Jianwu;  Wang Yangping;  Liu Xinguo;  Li Sha
  |  收藏  |  浏览/下载：32/0  |  提交时间：2018/08/20
An Algorithm Multi-Resolution Medical Image Registration Based on Firefly Algorithm and Powell 会议论文  OAI收割
作者:  IEEE;  Du Xiaogang;  Dang Jianwu;  Wang Yangping;  Liu Xinguo
  |  收藏  |  浏览/下载：30/0  |  提交时间：2018/08/20
A Robust Image Registration Algorithm for HDR Imaging on Feature Phone Platforms 会议论文  OAI收割
Zhangjiajie, China, 2013
作者:  Qiwei Xie;  An Jiang;  Qian Long;  Seiichi Mita;  Xi Chen
  |  收藏  |  浏览/下载：26/0  |  提交时间：2016/10/27
A line mapping based automatic registration algorithm of infrared and visible images 会议论文  OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:  Ai R(艾锐);  Shi ZL(史泽林);  Xu DJ(徐德江);  Zhang CS(张程硕)
收藏  |  浏览/下载：41/0  |  提交时间：2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.  
Image mosaic technique based on the information of edge (EI CONFERENCE) 会议论文  OAI收割
2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012, July 31, 2012 - August 2, 2012, Guilin, Guangxi, China
作者:  Wang Y.-Q.
收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25
Image mosaic is an important branch in the field of image processing. This paper designs and realizes an image mosaic technique based on the information of edge. The technology is suitable for engineering application. First of all  two images of the adjoining frames are processed by convolution operation  get the edge images. And then we cut edge image into pieces and compute their spatial frequency. According to the value of the spatial frequency select reasonable registration model group. We compute correlation strength and the value of movement offset which are the model group and the current frame edge image. We can complete image mosaic by them. We use video sequence which of the resolution is 1024 * 768 do the experiment. The results show that the method has good effect and strong adaptability. Algorithm is high efficiency which running time is 24 ms. It is suitable for real-time processing requirements of the application. This method is an effective mosaic technique which is suitable for engineering application. 2012 IEEE.  
Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文  OAI收割
2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico
作者:  Liu Y.;  Liu Y.;  Liu Y.
收藏  |  浏览/下载：42/0  |  提交时间：2013/03/25
Image registration is a key technique in pattern recognition and image processing  and it is widely used in many application areas such as computer vision  remote sensing  image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly  feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then  pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then  the well match points are used to estimate the best affine transform parameters by least squares minimization. At last  the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.