DocumentCode :
1936066
Title :
A New Approach for Touching Cells Segmentation
Author :
Nasr-Isfahani, Shirin ; Mirsafian, Atefeh ; Masoudi-Nejad, Ali
Author_Institution :
Dept. of Math Sci., Sharif Univ. of Technol., Tehran
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
816
Lastpage :
820
Abstract :
Automatic cell segmentation has various applications in different parts of science. The development of automated methods for cell segmentation, remains challenging in situations where there are touching cells. In this paper we propose a new method for separating touching cells. As the first step, we use a combination of graph segmentation algorithm and thresholding for segmenting foreground objects and producing a binary image. Next, boundary points of separation zone are selected by using a corner detection algorithm. Finally, the marker controller watershed transform is applied to separate touching cells at selected points.
Keywords :
cellular biophysics; image segmentation; medical image processing; separation; automatic cell segmentation; binary image; corner detection algorithm; foreground object segmentation; graph segmentation algorithm; marker controller watershed transform; separation zone; thresholding algorithm; touching cell separation; touching zone; Bioinformatics; Biomedical engineering; Biomedical informatics; Detection algorithms; Fungi; Image processing; Image segmentation; Microscopy; Shape control; Size control; Corner Detection; Graph Segmentation; Thresholding; Touching Cells; Watershed Ttransform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
Type :
conf
DOI :
10.1109/BMEI.2008.262
Filename :
4548784
Link To Document :
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