Image deformation based on contour using moving integral least squares | |
Yu, Chong1,2; Chen, Xi2; Yin, Lei1,2; Shu, Chang2,3; Zhao, Li1,2; Han, Hua2,3,4 | |
刊名 | IET IMAGE PROCESSING |
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 |
DOI | 10.1049/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. |
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关键词 | SHAPE DEFORMATION |
WOS研究方向 | Computer Science ; Engineering ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | INST ENGINEERING TECHNOLOGY-IET |
WOS记录号 | WOS:000452866800018 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/25663] |
专题 | 中国科学院自动化研究所 |
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. |
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