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Title:Graph Models and Shape Deformation for Image Segmentation
Author(s):Wang, Song
Doctoral Committee Chair(s):Liang, Zhi-Pei
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Computer Science
Abstract:The second part of this thesis is focused on using prior geometric information to improve the reliability and accuracy of image segmentation. Specifically, a new shape-deformation method is proposed to incorporate prior template shape information into image segmentation by deforming a given template shape to fit the detected low-level edge features in a target image. Combining the support vector machine and thin-plate splines, this method increases the robustness to the detection noise as well as the reliability to preserve the template shape topology. In addition, an efficient algorithm is developed to optimize the deformation cost function using quadratic programming.
Issue Date:2002
Description:132 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.
Other Identifier(s):(MiAaPQ)AAI3070471
Date Available in IDEALS:2015-09-25
Date Deposited:2002

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