The riverbed approach for user-steered image segmentation

Author

Miranda, Paulo A V ; Falcão, Alexandre X. ; Spina, Thiago V.

Author_Institution

Inf. Syst. Dept., Unicamp, Campinas, Brazil

fYear

2011

fDate

11-14 Sept. 2011

Firstpage

3133

Lastpage

3136

Abstract

This work presents an optimum user-steered boundary tracking approach for image segmentation, which simulates the behavior of water flowing through a riverbed. The riverbed approach was devised using the Image Foresting Transform with a never exploited connectivity function. We analyze its properties in the derived image graphs and discuss its theoretical relation with other popular methods, such as live wire and graph cuts. Riverbed can significantly reduce the number of user interactions (anchor points) as compared to live wire for objects with complex shapes.

Keywords

graph theory; image segmentation; transforms; user interfaces; anchor points; complex shapes; connectivity function; graph cuts; image foresting transform; image graphs; image segmentation; live wire; optimum user-steered boundary tracking approach; riverbed approach; user interactions; Active shape model; Conferences; Image segmentation; Shape; Transforms; Wires; Image foresting transform; graph-cut segmentation; live-wire segmentation; watershed transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2011 18th IEEE International Conference on

Conference_Location

Brussels

ISSN

1522-4880

Print_ISBN

978-1-4577-1304-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2011.6116330

Filename

6116330