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Reseach Article

Automated Identification and Classification of White Blood Cells (Leukocytes) in Digital Microscopic Images

Published on None 2010 by P.S.Hiremath, Parashuram Bannigidad, Sai Geeta
Recent Trends in Image Processing and Pattern Recognition
Foundation of Computer Science USA
RTIPPR - Number 2
None 2010
Authors: P.S.Hiremath, Parashuram Bannigidad, Sai Geeta
0f8ee982-5efd-4819-b37f-f62c1ed72698

P.S.Hiremath, Parashuram Bannigidad, Sai Geeta . Automated Identification and Classification of White Blood Cells (Leukocytes) in Digital Microscopic Images. Recent Trends in Image Processing and Pattern Recognition. RTIPPR, 2 (None 2010), 59-63.

@article{
author = { P.S.Hiremath, Parashuram Bannigidad, Sai Geeta },
title = { Automated Identification and Classification of White Blood Cells (Leukocytes) in Digital Microscopic Images },
journal = { Recent Trends in Image Processing and Pattern Recognition },
issue_date = { None 2010 },
volume = { RTIPPR },
number = { 2 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 59-63 },
numpages = 5,
url = { /specialissues/rtippr/number2/977-100/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Recent Trends in Image Processing and Pattern Recognition
%A P.S.Hiremath
%A Parashuram Bannigidad
%A Sai Geeta
%T Automated Identification and Classification of White Blood Cells (Leukocytes) in Digital Microscopic Images
%J Recent Trends in Image Processing and Pattern Recognition
%@ 0975-8887
%V RTIPPR
%N 2
%P 59-63
%D 2010
%I International Journal of Computer Applications
Abstract

The differential counting of white blood cell provides invaluable information to pathologist for diagnosis and treatment of many diseases manually counting of white blood cell is a tiresome, time-consuming and susceptible to error procedure due to the tedious nature of this process, an automatic system is preferable in this automatic process, segmentation and classification of white blood cell are the most important stages. The objective of the present study is to develop an automatic tool to identify and classify the white blood cells namely, lymphocytes, monocytes and neutrophil in digital microscopic images. We have proposed color based segmentation method and the geometric features extracted for each segment are used to identify and classify the different types of white blood cells. The experimental results are compared with the manual results obtained by the pathologist and demonstrate the efficacy of the proposed method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

White blood cells segmentation image analysis leukocytes lymphocyte monocyte neutrophil color segmentation