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文章基本信息

  • 标题:Topological Active Volumes
  • 本地全文:下载
  • 作者:N. Barreira ; M. G. Penedo
  • 期刊名称:EURASIP Journal on Advances in Signal Processing
  • 印刷版ISSN:1687-6172
  • 电子版ISSN:1687-6180
  • 出版年度:2005
  • 卷号:2005
  • 期号:13
  • 页码:1939-1947
  • DOI:10.1155/ASP.2005.1939
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    The topological active volumes (TAVs) model is a general model for 3D image segmentation. It is based on deformable models and integrates features of region-based and boundary-based segmentation techniques. Besides segmentation, it can also be used for surface reconstruction and topological analysis of the inside of detected objects. The TAV structure is flexible and allows topological changes in order to improve the adjustment to object's local characteristics, find several objects in the scene, and identify and delimit holes in detected structures. This paper describes the main features of the TAV model and shows its ability to segment volumes in an automated manner.

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