DocumentCode
3194241
Title
An improved watershed transformation for image segmentation
Author
Ming-yi, Ren ; Xiao-feng, Li ; Zai-ming, Li
Author_Institution
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2008
fDate
25-27 May 2008
Firstpage
830
Lastpage
833
Abstract
In this paper, an improved watershed algorithm for image segmentation is proposed. First the morphological opening/closing reconstruction is fulfilled, then the morphological gradient image is calculated, and the gradient image is nonlinear transformed based on vision characteristics of human eye, last the watershed transformation is computed and the image is segmented. The simulation results show that this improved watershed algorithm can greatly alleviate the over-segmentation problem of the traditional watershed.
Keywords
image segmentation; human eye; image segmentation; morphological gradient image; watershed transformation; Computer vision; Humans; Image reconstruction; Image segmentation; Information filtering; Information filters; Mathematics; Merging; Morphology; Partitioning algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
Conference_Location
Fujian
Print_ISBN
978-1-4244-2063-6
Electronic_ISBN
978-1-4244-2064-3
Type
conf
DOI
10.1109/ICCCAS.2008.4657898
Filename
4657898
Link To Document