A faster B spline snake

  • Authors:
  • Wang Xin;Ti Yunxia

  • Affiliations:
  • Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China;Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

  • Venue:
  • ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
  • Year:
  • 2009

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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.