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A Local Likelihood Active Contour Model for Medical Image Segmentation

Zhang, Jie
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1187087285

Abstract Details

2007, Master of Science (MS), Ohio University, Computer Science (Engineering).
In this thesis, we present a local distribution-based active contour model for medical image segmentation. Our framework uses Bayesian a posterior probability as the driving force for contour evolution. As a generalized form of the Chan-Vese piecewise constant model, our framework relaxes global Gaussian assumptions regarding image pixel intensities, and employs local Gaussians/means as the regional representatives to better account for local intensity variations in images. A global-to-local consistency constraint is enforced over the entire image domain to guarantee the validity of the segmentation results. In addition, available spatial distribution priors can be seamlessly integrated into the segmentation procedure to lead to more meaningful segmentation results. We conduct experiments on both synthetic and real medical images. Comparisons are carried out with Chan-Vese piecewise constant and the Chan-Vese piecewise smooth model, which are the state-of-the-art solution for image segmentation. Experimental results demonstrate the improvements made by our framework.
Jundong Liu (Advisor)
74 p.
Computer Science
Bayesian; posterior probability; Chan-Vese; Gaussian assumptions

Recommended Citations

Citations

  • Zhang, J. (2007). A Local Likelihood Active Contour Model for Medical Image Segmentation [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1187087285

    APA Style (7th edition)

  • Zhang, Jie. A Local Likelihood Active Contour Model for Medical Image Segmentation. 2007. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1187087285.

    MLA Style (8th edition)

  • Zhang, Jie. "A Local Likelihood Active Contour Model for Medical Image Segmentation." Master's thesis, Ohio University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1187087285

    Chicago Manual of Style (17th edition)

ohiou1187087285
693
© 2007, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.