Geometric Flow Approach for Region-Based Image Segmentation | |
Ye, Juntao1![]() | |
刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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2012-12-01 | |
卷号 | 21期号:12页码:4735-4745 |
关键词 | Geometric flow image segmentation minimization partial differential equations (PDE) variational method |
英文摘要 | Geometric flows have been successfully used for surface modeling and designing, largely because they are inherently good at controlling geometric shape evolution. Variational image segmentation approaches, on the other hand, detect objects of interest by deforming certain given shapes. This motivates us to revisit the minimal partition problem for segmentation of images, and propose a new geometric flow-based formulation and solution to it. Our model intends to derive a mapping that will evolve given contours or piecewise-constant regions toward objects in the image. The mapping is approximated by B-spline basis functions, and the positions of the control points are to be determined. Starting with the energy functional based on intensity averaging, we derive a Euler-Lagrange equation and then a geometric evolution equation. The linearized system of equations is efficiently solved via a special matrix-vector multiplication technique. Furthermore, we extend the piecewise-constant model to a piecewise-smooth model which effectively handles images with intensity inhomogeneity. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
研究领域[WOS] | Computer Science ; Engineering |
关键词[WOS] | LEVEL SET METHOD ; ACTIVE CONTOURS ; ANISOTROPIC DIFFUSION ; IRREGULAR MESHES ; CURVE EVOLUTION ; SURFACE DESIGN ; CURVATURE FLOW ; MUMFORD ; FRAMEWORK ; MODEL |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000311363200005 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/3306] ![]() |
专题 | 数字内容技术与服务研究中心_听觉模型与认知计算 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Ctr Interact Digital Media Technol, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci & Engn Comp, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Ye, Juntao,Xu, Guoliang. Geometric Flow Approach for Region-Based Image Segmentation[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2012,21(12):4735-4745. |
APA | Ye, Juntao,&Xu, Guoliang.(2012).Geometric Flow Approach for Region-Based Image Segmentation.IEEE TRANSACTIONS ON IMAGE PROCESSING,21(12),4735-4745. |
MLA | Ye, Juntao,et al."Geometric Flow Approach for Region-Based Image Segmentation".IEEE TRANSACTIONS ON IMAGE PROCESSING 21.12(2012):4735-4745. |
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