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。
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.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2005年第3期171-174,共4页
Journal of Mechanical Engineering
基金
国家自然科学基金(10272033)广东省自然科学基金(04105386)资助项目
关键词
逆向工程
图像分割
表面重建
主动轮廓模型
Reverse engineering Image segmentation Surface reconstruction Active contour
