DocumentCode :
568265
Title :
Research on an improved watershed algorithm to image segmentation
Author :
Chen, Jie ; Lei, Meng ; Fan, Yao ; Gao, Yi
Author_Institution :
Sch. of Inf. Eng., Tibet Inst. for Nat., Xianyang, China
fYear :
2012
fDate :
14-17 July 2012
Firstpage :
1917
Lastpage :
1919
Abstract :
We discuss image reconstruction and segmentation in an improved watershed algorithm by using a plug-in function in flooding process. This extends the watershed transform for segmentation by allowing the integration of a priori information about image objects into flooding simulation processes. This method can customize the initial seeding, region growing and stopping rules of the watershed flooding process according to user-defined functions incorporating prior information. We demonstrate that simple model functions operating on binary images can be effectively used to control all aspects of the flooding process. We proved that through simulation experiments, this method shows very low error rates compared with the recent literature and in comparisons with other algorithms, while being easily adapted to new imaging contexts.
Keywords :
digital simulation; image reconstruction; image segmentation; flooding simulation processes; image reconstruction; image segmentation; imaging contexts; improved watershed algorithm; initial seeding; plug-in function; region growing; stopping rules; user-defined functions; watershed flooding process; Floods; Image reconstruction; Image segmentation; Information filtering; Surface morphology; Surface topography; Transforms; flooding; image segmentation; watershed transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
Type :
conf
DOI :
10.1109/ICCSE.2012.6295447
Filename :
6295447
Link To Document :
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