ridm@nrct.go.th   ระบบคลังข้อมูลงานวิจัยไทย   รายการโปรดที่คุณเลือกไว้

A variant of the level set method and applications to image segmentation

หน่วยงาน Nanyang Technological University, Singapore

รายละเอียด

ชื่อเรื่อง : A variant of the level set method and applications to image segmentation
นักวิจัย : Lie, Johan , Lysaker, Marius , Tai, Xue Cheng
คำค้น : DRNTU::Science::Mathematics::Analysis.
หน่วยงาน : Nanyang Technological University, Singapore
ผู้ร่วมงาน : -
ปีพิมพ์ : 2549
อ้างอิง : Lie, J., Lysaker, M., & Tai, X. C. (2006). A variant of the level set method and applications to image segmentation. Mathematics of Computation, 75(255), 1155-1174. , 0025-5718 , http://hdl.handle.net/10220/4604 , http://sfxna09.hosted.exlibrisgroup.com:3410/ntu/sfxlcl3?sid=metalib:ISI_WOS_XML&id=doi:&genre=&isbn=&issn=0025-5718&date=2006&volume=75&issue=255&spage=1155&epage=1174&aulast=Lie&aufirst=%20J&auinit=J&title=MATHEMATICS%20OF%20COMPUTATION&atitle=A%20variant%20of%20the%20level%20set%20method%20and%20applications%20to%20image%20segmentation , http://dx.doi.org/10.1090/S0025-5718-06-01835-7
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Mathematics of Computation.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

In this paper we propose a variant of the level set formulation for identifying curves separating regions into different phases. In classical level set approaches, the sign of level set functions are utilized to identify up to 2n phases. The novelty in our approach is to introduce a piecewise constant level set function and use each constant value to represent a unique phase. If phases should be identified, the level set function must approach 2n predetermined constants. We just need one level set function to represent 2n unique phases, and this gains in storage capacity. Further, the reinitializing procedure requested in classical level set methods is superfluous using our approach. The minimization functional for our approach is locally convex and differentiable and thus avoids some of the problems with the nondifferentiability of the Delta and Heaviside functions. Numerical examples are given, and we also compare our method with related approaches.

บรรณานุกรม :
Lie, Johan , Lysaker, Marius , Tai, Xue Cheng . (2549). A variant of the level set method and applications to image segmentation.
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Lie, Johan , Lysaker, Marius , Tai, Xue Cheng . 2549. "A variant of the level set method and applications to image segmentation".
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Lie, Johan , Lysaker, Marius , Tai, Xue Cheng . "A variant of the level set method and applications to image segmentation."
    กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2549. Print.
Lie, Johan , Lysaker, Marius , Tai, Xue Cheng . A variant of the level set method and applications to image segmentation. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2549.