Top-down image segmentation using the Mumford-Shah functional and level set image representation

Author

Pan, Yongsheng

Author_Institution

Sci. Imaging & Comput. Inst., Univ. of Utah, Salt Lake City, UT

fYear

2009

fDate

19-24 April 2009

Firstpage

1241

Lastpage

1244

Abstract

A top-down image segmentation method is proposed in this paper, utilizing level set image representation and the piecewise-constant Mumford-Shah functional. The method achieves top-down hierarchical segmentation by taking advantage of the tree structure provided by level set image representation. The piecewise-constant Mumford-Shah functional is utilized in the proposed method to determine if each node in the tree segments the image. Experimental results show that this method is able to segment complicated real images.

Keywords

functional analysis; image representation; image segmentation; piecewise constant techniques; trees (mathematics); image segmentation; level set image representation; piecewise-constant Mumford-Shah functional; top-down hierarchical segmentation; tree structure; Image processing; Image representation; Image segmentation; Level set; Merging; Minimization methods; Pixel; Process design; Shape; Tree data structures; Image segmentation; level set image representation; region merging; the Mumford-Shah functional; tree of shapes;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4959815

Filename

4959815