Research on PDE-based adaptive anisotropic image registration
A PDE-based adaptive anisotropic model for image registration was proposed to solve the problem that tradi-tional optical flow brings on the image blurring and details losing.The new model introduces adaptivity image registration,and defines anisotropic diffusion function with the ability of preserv...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2013-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.022/ |
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| _version_ | 1841539834755153920 |
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| author | Shu-jing JIANG Bao-qin HEI Jiu-xing ZHANG Qian-nan LI |
| author_facet | Shu-jing JIANG Bao-qin HEI Jiu-xing ZHANG Qian-nan LI |
| author_sort | Shu-jing JIANG |
| collection | DOAJ |
| description | A PDE-based adaptive anisotropic model for image registration was proposed to solve the problem that tradi-tional optical flow brings on the image blurring and details losing.The new model introduces adaptivity image registration,and defines anisotropic diffusion function with the ability of preserving image structure as the regu-larization term;the data term use a non-quadratic penalty function with the assumption in brightness constant to improve the robust of the model.The experimental results show that the model can efficiently protect the image structure and achieve accurate registration of the complex image like brain. |
| format | Article |
| id | doaj-art-b877f931408f46dd97735afd4bb5b521 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-b877f931408f46dd97735afd4bb5b5212025-01-14T06:35:24ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-05-013419219959672466Research on PDE-based adaptive anisotropic image registrationShu-jing JIANGBao-qin HEIJiu-xing ZHANGQian-nan LIA PDE-based adaptive anisotropic model for image registration was proposed to solve the problem that tradi-tional optical flow brings on the image blurring and details losing.The new model introduces adaptivity image registration,and defines anisotropic diffusion function with the ability of preserving image structure as the regu-larization term;the data term use a non-quadratic penalty function with the assumption in brightness constant to improve the robust of the model.The experimental results show that the model can efficiently protect the image structure and achieve accurate registration of the complex image like brain.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.022/optical flowimage registrationadaptiveanisotropicedge alignment |
| spellingShingle | Shu-jing JIANG Bao-qin HEI Jiu-xing ZHANG Qian-nan LI Research on PDE-based adaptive anisotropic image registration Tongxin xuebao optical flow image registration adaptive anisotropic edge alignment |
| title | Research on PDE-based adaptive anisotropic image registration |
| title_full | Research on PDE-based adaptive anisotropic image registration |
| title_fullStr | Research on PDE-based adaptive anisotropic image registration |
| title_full_unstemmed | Research on PDE-based adaptive anisotropic image registration |
| title_short | Research on PDE-based adaptive anisotropic image registration |
| title_sort | research on pde based adaptive anisotropic image registration |
| topic | optical flow image registration adaptive anisotropic edge alignment |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.022/ |
| work_keys_str_mv | AT shujingjiang researchonpdebasedadaptiveanisotropicimageregistration AT baoqinhei researchonpdebasedadaptiveanisotropicimageregistration AT jiuxingzhang researchonpdebasedadaptiveanisotropicimageregistration AT qiannanli researchonpdebasedadaptiveanisotropicimageregistration |