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Proceedings Paper

Edge Detection In Cytology Using Morphological Filters
Author(s): J. Barba; L. Yuan; J. Gil
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Paper Abstract

A technique for the semi-automatic detection of cell and nuclear contours in cytological specimens is presented. Gray level images are viewed as stacked binary bit plane images with each bit plane image representing the effect of thresholding the gray level image with multiple gray level windows. A binary morphological edge detector is employed to identify edges on selected bit planes. A simple contour tracking algorithm is used to identify the most likely cell and nuclear contours which are presented to the user for verification.

Paper Details

Date Published: 5 April 1989
PDF: 8 pages
Proc. SPIE 1075, Digital Image Processing Applications, (5 April 1989); doi: 10.1117/12.952659
Show Author Affiliations
J. Barba, City College of New York (United States)
L. Yuan, City College of New York (United States)
J. Gil, The Mount Sinai Medical Center (United States)

Published in SPIE Proceedings Vol. 1075:
Digital Image Processing Applications
Ying-Wei Lin; Ram Srinivasan, Editor(s)

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