2026-09-19T23:57:11Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/80807 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Liang, Zhi-Pei Wang, Song 2015-09-25T20:08:15Z 2015-09-25T20:08:15Z 10000-01-01 2002 2002 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. Made available in DSpace on 2015-09-25T20:08:15Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3070471.pdf: 7140969 bytes, checksum: b9fab5a06d636a886ec2ae00343a8b3d (MD5) Previous issue date: 2002 Embargo set by: Seth Robbins for item 82089 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 132 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002. http://hdl.handle.net/2142/80807 (MiAaPQ)AAI3070471 eng Computer Science Graph Models and Shape Deformation for Image Segmentation text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.