中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Image deformation based on contour using moving integral least squares

文献类型:期刊论文

作者Yu, Chong1,2; Chen, Xi2; Yin, Lei1,2; Shu, Chang2,3; Zhao, Li1,2; Han, Hua2,3,4
刊名IET IMAGE PROCESSING
出版日期2019
卷号13期号:1页码:152-160
关键词deformation least squares approximations optimisation image registration splines (mathematics) computational geometry feature extraction medical image processing deformation function effective image deformation methods contour image deformation method Integral Least Squares optimisation control contours desired contours intuitive deformations
ISSN号1751-9659
DOI10.1049/iet-ipr.2018.5388
英文摘要

Many effective image deformation methods have been proposed in recent years, but few of them use the contours of objects as the reference of deformation. However, the contour is an important factor, and contour-based deformation can guarantee that the edge of the object after deformation is smoother compared to point-based image deformation. This article presents an image deformation method based on contours using Moving Integral Least Squares (MILS) optimisation. First, the authors set the key points in the image to create control contours as required and then adjust the positions of these points to generate the desired contours. In order to warp these contours to their new positions, the image is deformed using MILS. They derive the affine, similarity, and rigid transformations in a general framework, and users can choose different curves according to their needs. The proposed method possesses two characteristics: (i) it is able to create detail-preserving and intuitive deformations; and (ii) the solution of the deformation function has a simple closed form. They compare their method to the state-of-the-art algorithm, which is modelled by rigid transformation. Experimental results show that their deformation is more vivid.

WOS关键词SHAPE DEFORMATION
资助项目Special Program of the Beijing Municipal Science & Technology Commission[Z161100000216146] ; Scientific Instrument Developing Project of the Chinese Academy of Sciences[YZ201671] ; National Science Foundation of China[61201-050]
WOS研究方向Computer Science ; Engineering ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000452866800018
出版者INST ENGINEERING TECHNOLOGY-IET
源URL[http://ir.ia.ac.cn/handle/173211/25663]  
专题类脑智能研究中心_微观重建与智能分析
通讯作者Chen, Xi
作者单位1.Hubei Univ, Fac Math & Stat, Wuhan, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Yu, Chong,Chen, Xi,Yin, Lei,et al. Image deformation based on contour using moving integral least squares[J]. IET IMAGE PROCESSING,2019,13(1):152-160.
APA Yu, Chong,Chen, Xi,Yin, Lei,Shu, Chang,Zhao, Li,&Han, Hua.(2019).Image deformation based on contour using moving integral least squares.IET IMAGE PROCESSING,13(1),152-160.
MLA Yu, Chong,et al."Image deformation based on contour using moving integral least squares".IET IMAGE PROCESSING 13.1(2019):152-160.

入库方式: OAI收割

来源:自动化研究所

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