Spatially adaptive relaxation for active contour cell segmentation

Author

Ogier, A. ; Dorval, T. ; Kim, B. ; Genovesio, A.

Author_Institution

Active Compounds Space Team, Inst. Pasteur Korea, Seoul, South Korea

fYear

2010

fDate

14-17 April 2010

Firstpage

1033

Lastpage

1036

Abstract

This paper presents a segmentation framework in a high content screening (HCS) context based on variational snakes. We introduce a modified internal energy function for the snake evolution taking into account the different artifacts appearing in confocal microscopic images during a screening session. This framework is particularly well suited and efficient for nuclei segmentation, providing an accurate base for higher level image analysis.

Keywords

biomedical optical imaging; cellular biophysics; image segmentation; medical image processing; optical microscopy; active contour; artifacts; cell segmentation; confocal microscopy; high content screening; modified internal energy function; nuclei segmentation; spatially adaptive relaxation; variational snakes; Active contours; Additive noise; Cells (biology); Convolution; Drugs; Image analysis; Image processing; Image segmentation; Kernel; Optical microscopy; active contours; image processing; image segmentation; microscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on

Conference_Location

Rotterdam

ISSN

1945-7928

Print_ISBN

978-1-4244-4125-9

Electronic_ISBN

1945-7928

Type

conf

DOI

10.1109/ISBI.2010.5490166

Filename

5490166