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Proceedings Paper

Morphological feature detection for cervical cancer screening
Author(s): Ramkumar Narayanswamy; John P. Sharpe; Heather J. Duke; Rosemary J. Stewart; Kristina M. Johnson
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Paper Abstract

An optoelectronic system has been designed to pre-screen pap-smear slides and detect the suspicious cells using the hit/miss transform. Computer simulation of the algorithm tested on 184 pap-smear images detected 95% of the suspicious region as suspect while tagging just 5% of the normal regions as suspect. An optoelectronic implementation of the hit/miss transform using a 4f Vander-Lugt correlator architecture is proposed and demonstrated with experimental results.

Paper Details

Date Published: 28 March 1995
PDF: 11 pages
Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); doi: 10.1117/12.205227
Show Author Affiliations
Ramkumar Narayanswamy, Univ. of Colorado/Boulder (United States)
John P. Sharpe, Univ. of Colorado/Boulder (United States)
Heather J. Duke, Univ. of Colorado/Boulder (United States)
Rosemary J. Stewart, Univ. of Colorado/Boulder (United States)
Kristina M. Johnson, Univ. of Colorado/Boulder (United States)


Published in SPIE Proceedings Vol. 2424:
Nonlinear Image Processing VI
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham; Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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