DocumentCode
548183
Title
The Cell Image Segmentation Based on the K-L Transform and OTSU Method
Author
Lin, Zhonghua
Author_Institution
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
Volume
1
fYear
2011
fDate
14-15 May 2011
Firstpage
25
Lastpage
28
Abstract
Automatic analysis of medical cell images has been gaining more importance in pharmacology research. Segmentation of cell images is the crucial step in their analysis since results of segmentation directly affect the following quantitative analysis steps. In this paper, we present a cell image segmentation method based on the K-L transform and OTSU method. By K-L transform we choose one channel and ensure an automatic threshold value by OTSU method. The method has been applied to the segmentation of several kinds of cell images. The experimental results show that the method is practical and effective; it has good robustness and ensures the accuracy.
Keywords
cellular biophysics; image segmentation; medical computing; medical image processing; transforms; K-L transform; OTSU method; cell image segmentation method; medical cell image automatic analysis; Biomedical imaging; Covariance matrix; Databases; Image segmentation; Pixel; Symmetric matrices; Transforms; K-L transform; OTSU method; cell image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Signal Processing (CMSP), 2011 International Conference on
Conference_Location
Guilin, Guangxi
Print_ISBN
978-1-61284-314-8
Electronic_ISBN
978-1-61284-314-8
Type
conf
DOI
10.1109/CMSP.2011.14
Filename
5957366
Link To Document