DocumentCode :
3020986
Title :
Estimation of average cell shape from digital images of cellular surfaces
Author :
Iles, P.J.W. ; Clausi, D.A. ; Brodland, G.W.
Author_Institution :
University of Waterloo
fYear :
2004
fDate :
17-19 May 2004
Firstpage :
273
Lastpage :
278
Abstract :
A method is proposed to determine the average cellular geometry in high-resolution images of embryonic epithelia. The concept of a `composite cell¿ is used to represent the average cell shape. This composite cell can provide evidence of stresses present in the epithelia. A new adaptive contrast enhancement routine is applied to the input image first, followed by an iterative watershed segmentation. The composite cell is calculated from the segmentation results. Qualitative results show that this computationally inexpensive algorithm produces accurate results for a variety of image sizes, contrast levels, cell shapes and appearances.
Keywords :
Birth disorders; Digital images; Embryo; Geometry; Image recognition; Image segmentation; Inspection; Iterative algorithms; Shape; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision, 2004. Proceedings. First Canadian Conference on
Conference_Location :
London, ON, Canada
Print_ISBN :
0-7695-2127-4
Type :
conf
DOI :
10.1109/CCCRV.2004.1301455
Filename :
1301455
Link To Document :
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