MRI image segmentation based on fast global minimization of snake model

Thi Thao Tran, Po Lei Lee, Van Truong Pham, Kuo Kai Shyu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Snakes, or active contours, have been widely used to locate boundaries of image segmentation and computer vision. Problem associated with the existence of the local minima in the active contour energy function makes snakes have poor convergence in segmentation process; therefore, the poor convergence has limited applications. In this work, a fast minimization of snake model is used for an MRI knee image segmentation. This method provides a satisfied result. As a result, it is a good candidate for MRI image segmentation approach.

Original languageEnglish
Title of host publication2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Pages1769-1772
Number of pages4
DOIs
StatePublished - 2008
Event2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam
Duration: 17 Dec 200820 Dec 2008

Publication series

Name2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Conference

Conference2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Country/TerritoryViet Nam
CityHanoi
Period17/12/0820/12/08

Keywords

  • Active contours
  • Global minimization
  • MRI image segmentation
  • Snakes

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