Title :
Clustering-Based Touching-Cells Division
Author :
Sun, Haojun ; Zeng, Qingnan
Author_Institution :
Dept. of Comput. Sci., Shantou Univ., Shantou, China
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;
Conference_Titel :
Web Information Systems and Applications Conference (WISA), 2011 Eighth
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-1812-0
DOI :
10.1109/WISA.2011.33
