Title :
The Cell Image Segmentation Based on the K-L Transform and OTSU Method
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
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;
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
DOI :
10.1109/CMSP.2011.14