Title :
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
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;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2010.5490166
