A B-Snake Model Using Statistical and Geometric Information - Applications to Medical Images

Yue Wang, Erm Khwang Teoh, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A B-snake model using statistics information for segmenting 2D objects from medical images is presented in this paper. Based on our previous research work, a statistical model is proposed for our B-snake model, in order to use available priori knowledge about the object shape being studied. This method allows the deformation of B-snake to be influenced primarily by the most reliable matches. Experimental results show that our method is robust and accurate in object contour extraction in medical images.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Pages793-797
Number of pages5
Publication statusPublished - 2002
Externally publishedYes
EventProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002 - Singapore, Singapore
Duration: 2002 Dec 22002 Dec 5

Publication series

NameProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002

Other

OtherProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002
CountrySingapore
CitySingapore
Period02/12/202/12/5

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Wang, Y., Teoh, E. K., & Shen, D. (2002). A B-Snake Model Using Statistical and Geometric Information - Applications to Medical Images. In Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002 (pp. 793-797). (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002).