CSpace
A FAST CLASSIFICATION METHOD FOR SINGLE-PARTICLE PROJECTIONS WITH A TRANSLATION AND ROTATION INVARIANT
Wang Xia; Xu Guoliang
2013
发表期刊Journal of Computational Mathematics
ISSN0254-9409
卷号31期号:2页码:137
摘要The aim of the electron microscopy image classification is to categorize the projection images into different classes according to their similarities. Distinguishing images usually requires that these images are aligned first. However, alignment of images is a difficult task for a highly noisy data set. In this paper, we propose a translation and rotation invariant based on the Fourier transform for avoiding alignment. A novel classification method is therefore established. To accelerate the classification speed, secondary-classes are introduced in the classification process. The test results also show that our method is very efficient and effective. Classification results using our invariant are also compared with the results using other existing invariants, showing that our invariant leads to much better results.
语种英语
资助项目[NSFC] ; [NSFC key project] ; [Funds for Creative Research Groups of China]
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/47512
专题中国科学院数学与系统科学研究院
作者单位中国科学院数学与系统科学研究院
推荐引用方式
GB/T 7714
Wang Xia,Xu Guoliang. A FAST CLASSIFICATION METHOD FOR SINGLE-PARTICLE PROJECTIONS WITH A TRANSLATION AND ROTATION INVARIANT[J]. Journal of Computational Mathematics,2013,31(2):137.
APA Wang Xia,&Xu Guoliang.(2013).A FAST CLASSIFICATION METHOD FOR SINGLE-PARTICLE PROJECTIONS WITH A TRANSLATION AND ROTATION INVARIANT.Journal of Computational Mathematics,31(2),137.
MLA Wang Xia,et al."A FAST CLASSIFICATION METHOD FOR SINGLE-PARTICLE PROJECTIONS WITH A TRANSLATION AND ROTATION INVARIANT".Journal of Computational Mathematics 31.2(2013):137.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang Xia]的文章
[Xu Guoliang]的文章
百度学术
百度学术中相似的文章
[Wang Xia]的文章
[Xu Guoliang]的文章
必应学术
必应学术中相似的文章
[Wang Xia]的文章
[Xu Guoliang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。