DocumentCode :
1851532
Title :
A Region Analysis Approach for Segmenting Neural-Cell Images
Author :
Donggang Yu ; Pham, T.D. ; Crane, D.I.
Author_Institution :
James Cook Univ., Townsville
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
5529
Lastpage :
5532
Abstract :
In this paper we present new algorithms based on region analysis of grey and distance differences of images that successfully circumvent these problems. Two key parameters of this analysis, window width and logical threshold, are automatically extracted for use in logical thresholding, and spurious regions are detected and removed through use of a hierarchical window filter. The efficacy of the developed algorithms is demonstrated here through an analysis of cultured brain neurons from newborn mice.
Keywords :
biology computing; biomedical imaging; brain; cellular biophysics; neurophysiology; cultured brain neurons; hierarchical window filter; logical thresholding; newborn mice; segmenting neural-cell images; Algorithm design and analysis; Chemical analysis; Chemical processes; Cranes; Filters; Image analysis; Image segmentation; Mice; Neurons; Pediatrics; Algorithms; Artificial Intelligence; Cells, Cultured; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Neurons; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353598
Filename :
4353598
Link To Document :
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