A faster B spline snake

Wang Xin; Tu Yunxia

doi:10.1109/ROBIO.2009.5420738

A faster B spline snake

Wang Xin^*
, Tu Yunxia

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Active contour model(or'snake') is efficient in object contour extraction. It is widely applied in many fields, such as human facial feature extraction, segmenation of medical images, vedio object segmentation, 3D reconstruction, and so on. The implementation of GVF into the B Spline snake is specified, the resulting GVF B spline snake, retains the advantages of GVF snake. In this paper SOR method is assembled to speed GVF computation, and the same effect is reached in snake deforming by Conjugate Gradient method. The modified snake algorithm performs more effective and faster over original B spline snake.

Original language	English
Title of host publication	2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009
Pages	2314-2319
Number of pages	6
DOIs	https://doi.org/10.1109/ROBIO.2009.5420738
State	Published - 2009
Externally published	Yes
Event	2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009 - Guilin, China Duration: 19 Dec 2009 → 23 Dec 2009

Publication series

Name	2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009

Conference

Conference	2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009
Country/Territory	China
City	Guilin
Period	19/12/09 → 23/12/09

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10.1109/ROBIO.2009.5420738

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@inproceedings{52124b1d21c9407fa473683ff2575693,

title = "A faster B spline snake",

abstract = "Active contour model(or'snake') is efficient in object contour extraction. It is widely applied in many fields, such as human facial feature extraction, segmenation of medical images, vedio object segmentation, 3D reconstruction, and so on. The implementation of GVF into the B Spline snake is specified, the resulting GVF B spline snake, retains the advantages of GVF snake. In this paper SOR method is assembled to speed GVF computation, and the same effect is reached in snake deforming by Conjugate Gradient method. The modified snake algorithm performs more effective and faster over original B spline snake.",

author = "Wang Xin and Tu Yunxia",

year = "2009",

doi = "10.1109/ROBIO.2009.5420738",

language = "英语",

isbn = "9781424447756",

series = "2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009",

pages = "2314--2319",

booktitle = "2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009",

note = "2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009 ; Conference date: 19-12-2009 Through 23-12-2009",

}

Xin, W & Yunxia, T 2009, A faster B spline snake. in 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009., 5420738, 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009, pp. 2314-2319, 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009, Guilin, China, 19/12/09. https://doi.org/10.1109/ROBIO.2009.5420738

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AU - Xin, Wang

AU - Yunxia, Tu

PY - 2009

Y1 - 2009

N2 - Active contour model(or'snake') is efficient in object contour extraction. It is widely applied in many fields, such as human facial feature extraction, segmenation of medical images, vedio object segmentation, 3D reconstruction, and so on. The implementation of GVF into the B Spline snake is specified, the resulting GVF B spline snake, retains the advantages of GVF snake. In this paper SOR method is assembled to speed GVF computation, and the same effect is reached in snake deforming by Conjugate Gradient method. The modified snake algorithm performs more effective and faster over original B spline snake.

AB - Active contour model(or'snake') is efficient in object contour extraction. It is widely applied in many fields, such as human facial feature extraction, segmenation of medical images, vedio object segmentation, 3D reconstruction, and so on. The implementation of GVF into the B Spline snake is specified, the resulting GVF B spline snake, retains the advantages of GVF snake. In this paper SOR method is assembled to speed GVF computation, and the same effect is reached in snake deforming by Conjugate Gradient method. The modified snake algorithm performs more effective and faster over original B spline snake.

UR - https://www.scopus.com/pages/publications/77951491862

U2 - 10.1109/ROBIO.2009.5420738

DO - 10.1109/ROBIO.2009.5420738

M3 - 会议稿件

AN - SCOPUS:77951491862

SN - 9781424447756

T3 - 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009

SP - 2314

EP - 2319

BT - 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009

T2 - 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009

Y2 - 19 December 2009 through 23 December 2009

ER -

A faster B spline snake

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