DocumentCode
2533223
Title
Clustering-Based Touching-Cells Division
Author
Sun, Haojun ; Zeng, Qingnan
Author_Institution
Dept. of Comput. Sci., Shantou Univ., Shantou, China
fYear
2011
fDate
21-23 Oct. 2011
Firstpage
137
Lastpage
142
Abstract
Automated cell segmentation of microscopy cell images play an important role in various applications of cell images analysis. Nowadays, the automated methods for cell segmentation is still challenging in situations, not only the fuzzy microscopy cell images but also where there might be touching cells. In this paper we propose a method for identifying the touching cells. we use a combination of image segmentation, extraction of connected components, Hough transform and cluster analysis to separate the touching cells.
Keywords
Hough transforms; biology computing; feature extraction; fuzzy set theory; image segmentation; pattern clustering; Hough transform; automated cell segmentation; cluster analysis; clustering based touching cells division; connected components extraction; fuzzy microscopy cell images; Algorithm design and analysis; Clustering algorithms; Image segmentation; Microscopy; Transforms; White blood cells; Hough transform; cluster analysis; cycle detect; touching cells;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Information Systems and Applications Conference (WISA), 2011 Eighth
Conference_Location
Chongqing
Print_ISBN
978-1-4577-1812-0
Type
conf
DOI
10.1109/WISA.2011.33
Filename
6093580
Link To Document