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
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