东北大学学报(自然科学版) ›› 2006, Vol. 27 ›› Issue (8): 851-854.DOI: -

• 论著 • 上一篇    下一篇

基于距离场的非线性图像插值分割方法

杨金柱;赵大哲;徐心和;   

  1. 东北大学软件中心;东北大学软件中心;东北大学信息科学与工程学院 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004
  • 收稿日期:2013-06-23 修回日期:2013-06-23 出版日期:2006-08-15 发布日期:2013-06-23
  • 通讯作者: Yang, J.-Z.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60475036)

Algorithm of nonlinear image interpolation segmentation based on distance mask

Yang, Jin-Zhu (1); Zhao, Da-Zhe (1); Xu, Xin-He (2)   

  1. (1) Software Center, Northeastern University, Shenyang 110004, China; (2) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2006-08-15 Published:2013-06-23
  • Contact: Yang, J.-Z.
  • About author:-
  • Supported by:
    -

摘要: 对于医学序列切片,需要图像分割技术将图像中感兴趣区域ROI(region of interest)提取并进行三维重建.提出一种基于距离场的非线性图像插值分割方法,该方法克服了软组织因灰度值分布不均匀难分割的问题,可以快速提取ROI区域.实验表明用该方法进行医学序列切片的分割,可以得到良好的分割结果,并已成功地应用于医学数据的三维重建系统中.

关键词: 图像分割, 图像插值, 图像处理, 医学图像, 距离变换

Abstract: In medical microtomy, the ROI (region of interest) in image is needed to be picked up via image segmentation and to be 3D reconstructed. An algorithm of nonlinear image interpolation segmentation is thus presented on the based of distance mask to rise above effectively the difficulty of images of soft tissue because of the non-uniform distribution of gray level. The algorithm can quickly pick up ROI. The experiment showed that the algorithm can generate accurate result and it has successfully been applied to the 3D medical image visualization and reconstruction system.

中图分类号: