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Pc-Based Imaging System for Color Cell Identification and Scoring

Published online by Cambridge University Press:  02 July 2020

Jasjit S. Suri  and
Kumar Satyender
Jasjit S. Suri
Affiliation:
3 Laramie Court, , Coram, NY11727, USA
Kumar Satyender
Affiliation:
Computron Software Inc., , Rutherford, NJ07070, USA
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Extract

Pathologists, microbiologists and cytologists are very interested to automatically identify and quantify the sperms, cells or nucleus in the cellular level images. Complexities like voluminous data sets, variability in data sets, millions of colors, and different kinds of artifacts make the detection and quantification process very difficult. This paper is an attempt to design a sophisticated cellular diagnostic system based on color image processing, mathematical morphology and connected components based on run length encoding. This system runs on Windows ‘98/NT PC platform, in Visual C++, 6.0 environment using three different architectures: Single document interface, multiple document interface and dialog based applications. The system takes around 1.5 seconds per image of 512 x 484 square pixels using high speed threading architecture written on the on 400 MHz Pentiumll processor. The system has an accuracy of 95%. The software has been validated tested on NASA and machine vision real world images.

Type
Computational Methods for Microscopy and Microanalysis
Information
Microscopy and Microanalysis , Volume 5 , Issue S2: Proceedings: Microscopy & Microanalysis '99, Microscopy Society of America 57th Annual Meeting, Microbeam Analysis Society 33rd Annual Meeting, Portland, Oregon August 1-5, 1999 , August 1999 , pp. 942 - 943
Copyright
Copyright © Microscopy Society of America

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References

References:

1.)Haralick, Robert M. and Shapiro, Linda G., Computer Vision and Robot Vision, Addison-Wesley Publishing Company, 1992.Google Scholar
2.) Visual C++ Compilier, Microsoft, 1998.CrossRefGoogle Scholar
3.)Jeff, Prosise, Programming in Window 95 MFC, Microsoft Press, 1996.Google Scholar
4.)Jeffrey, Richeter, Advance Windows, Microsoft Press, 1998.Google Scholar
5.) Bjarne Stroustrup, The C++ Programming Language, 2nd Edition, Addison-Wesley Publishing Company, ISBN # 0-201-53992-6, 1991Google Scholar
6.)Jain, A. Fundamentals of Digital Image Processing, Prentice-Hall, 1986, p 384.Google Scholar