Title :
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
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;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116330
