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Boundary Detection Using Open Spline Curve Based on Mumford-Shah Model
Li XM(李小毛); Zhu LL(朱琳琳); Tang YD(唐延东)
Department机器人学研究室
Source Publication自动化学报
ISSN1874-1029
2009
Volume35Issue:2Pages:132-136
Indexed ByEI ; CSCD
EI Accession number20091111957197
CSCD IDCSCD:3533743
Contribution Rank1
Funding OrganizationSupported by National Natural Science Foundation of China(60871078,60835004);; the Open Foundation of State Key Laboratory of Robotics(07A1210101)
KeywordOpen Curve Diffusion Snake Spline Curve Boundary Detection M-s Model
AbstractInspired by Cremers's work, this paper proposes a novel method for detecting open boundaries, such as coastline and skyline in an image. This method is based on B-spline function, curve evolution, and the cartoon model of Mumford-Shah functional (M-S model). Because the object to be detected is an open curve in the image domain, two constraint equations are introduced into the M-S model. Thus, the problem of open boundary detection becomes a minimal partition problem. With the partial differential equations (PDEs) of control points and constraint equations, the curve will stop on the desired boundary. The method can be used to detect automatically a curve that separates an image into two distinct regions and is not necessarily defined by gradient, even if the image is very noisy. In addition, with two open curves, our model can be extended to detect belt-like objects, such as rivers and roads.
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/7320
Collection机器人学研究室
Recommended Citation
GB/T 7714
Li XM,Zhu LL,Tang YD. Boundary Detection Using Open Spline Curve Based on Mumford-Shah Model[J]. 自动化学报,2009,35(2):132-136.
APA Li XM,Zhu LL,&Tang YD.(2009).Boundary Detection Using Open Spline Curve Based on Mumford-Shah Model.自动化学报,35(2),132-136.
MLA Li XM,et al."Boundary Detection Using Open Spline Curve Based on Mumford-Shah Model".自动化学报 35.2(2009):132-136.
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