DocumentCode :
2751173
Title :
A Novel Segmentation Method for Overlapping Cells
Author :
Huang, Tinglei ; Lin, Ke ; Li, Min ; Lu, Changyi
Author_Institution :
Inst. of Comput., Guilin Univ. of Electron. Technol.
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
10486
Lastpage :
10490
Abstract :
The clustering phenomenon often appears in the cell image auto-reading system, some cells overlap or touch together to form a big area. It is necessary to design an effective algorithm to separate the clustering cells into single ones. In order to realize the cell´s parameter measurement and get a right analysis conclusion, firstly overlapping cells should be exactly segmented. This paper presents an effective segmentation algorithm: based on the combination of arc-chord ratio and area of cells image, firstly overlap cells should be separated from normal ones by area; secondly, the border of overlapping cells should be traced by Freeman-code; last the max arc-chord ratio can be solved by Freeman-code, at the same time separation points can be solved. In practice, this algorithm is proved to be an effective and reliable method, and both the segmentation speed and repeatability meet the medical clinic need, and the analysis conclusion accords with clinic diagnoses
Keywords :
cellular biophysics; image segmentation; medical image processing; Freeman code; boundary tracing; cell image auto-reading system; max arc-chord ratio; overlapping cell segmentation; Algorithm design and analysis; Automation; Biomedical imaging; Clustering algorithms; Image segmentation; Intelligent control; Medical diagnostic imaging; Arc-chord ratio; Freeman code; Overlap cells; boundary tracing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1714059
Filename :
1714059
Link To Document :
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