• CN:11-2187/TH
  • ISSN:0577-6686

›› 2005, Vol. 41 ›› Issue (3): 171-174.

• 论文 • 上一篇    下一篇

基于主动轮廓模型的序列图像分割与重建

成思源;张湘伟;熊汉伟   

  1. 广东工业大学机电工程学院
  • 发布日期:2005-03-15

SEGMENTATION AND RECONSTRUCTION OF SERIES IMAGE BASED ON ACTIVE CONTOUR

Cheng Siyuan;Zhang Xiangwei;Xiong Hanwei   

  1. College of Electromechanical Engineering, Guangdong University of Technology
  • Published:2005-03-15

摘要: 基于断层测量的表面重建是逆向工程中的重要研究方向,而图像分割是其中的关键性技术。针对这一问题,提出了一种基于Greedy算法的B样条主动轮廓模型,可快速稳定地实现目标图像的分割,适用于基于断层图像的分割与表面重建处理。通过对磁共振序列断层图像的分割与表面重建验证了该方法的有效性。

关键词: 表面重建, 逆向工程, 图像分割, 主动轮廓模型

Abstract: Surface reconstruction from contours is an important research aspect in reverse engineering, in which image segmentation is a key step. A new image segmentation method base on B-spline active contour model is proposed, and Greedy algorithm is adopted to solve this model, which can produce fast and stable segmentation results and is fit for surface reconstruction from contours application. Series magnetic resonance image is successfully segmented by this model, and from the results, surface reconstruction is realized, which demonstrate the feasibility of the method.

Key words: Active contour, Image segmentation, Reverse engineering, Surface reconstruction

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