DocumentCode
3105682
Title
Cell Image Segmentation Based on an Improved Watershed Transformation
Author
Li, Shu ; Wu, Lei ; Sun, Yang
Author_Institution
Fac. of Inf. Manage. & Inf. Syst.(Med.), China Med. Univ., Shenyang, China
fYear
2010
fDate
26-28 Sept. 2010
Firstpage
93
Lastpage
96
Abstract
This paper presents an improved watershed segmentation method based on multi-scale edge detection which is applied to cell image segmentation. First, advantage of using morphology for the edge detection is discussed, secondly, multi-scale edge detection method is constructed by the weighted combination of morphological operations. After using the multi-scale edge detection method, result is taken as the input of watershed segmentation, then implements region merging to get the final result. Experimental results show that the method can provide precise and closed region contour.
Keywords
edge detection; image segmentation; medical image processing; transforms; cell image segmentation; morphological operations; morphology; multiscale edge detection; watershed segmentation; watershed transformation; weighted combination; Biomedical imaging; Finite element methods; Image edge detection; Image segmentation; Merging; Noise; Pixel; cell image segmentation; multi-scale edge detection; watershed transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-8785-1
Type
conf
DOI
10.1109/CASoN.2010.28
Filename
5636803
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