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