Cell Image Processing Based on Distance Transform and Regional Growth

Author

Duan Jun ; Bai, Qinglong

Author_Institution

Inf. Inst., Inner Mongolia Univ. of Sci. & Technol., Baotou, China

fYear

2010

fDate

1-2 Nov. 2010

Firstpage

6

Lastpage

9

Abstract

When picking up the characteristics of cancer cells from cell image, there are the phenomenon of cell adhesion and the phenomenon of similar pixel depth between nucleus and cytoplasm, which will greatly influence the accuracy of recognition. This article discusses feasibility of splitting adhesion among cells of fluid cancer cells with the method of distance transform, and distinguishing the nucleus and cytoplasm with regional growth method. Experimental results show that these methods mentioned in this article are effective for the division of adhesion cells, and they are suitable for the division between the cytoplasm and nuclei.

Keywords

cancer; cellular biophysics; image recognition; medical image processing; transforms; cell adhesion; cell image processing; cell nucleus; cytoplasm; distance transform; fluid cancer cell; image recognition; nucleus; regional growth method; Adhesives; Cancer; Image segmentation; Shape; Transforms; Cell image processing; Image segmentation; distance transform; regional growth;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Computing for Science and Engineering (ICICSE), 2010 Fifth International Conference on

Conference_Location

Heilongjiang

Print_ISBN

978-1-4244-9954-0

Type

conf

DOI

10.1109/ICICSE.2010.20

Filename

6076531