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Leukemia Detection using Digital Image Processing Techniques

by Himali P. Vaghela, Hardik Modi, Manoj Pandya, M.B. Potdar
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 1
Year of Publication: 2015
Authors: Himali P. Vaghela, Hardik Modi, Manoj Pandya, M.B. Potdar
10.5120/ijais2015451461

Himali P. Vaghela, Hardik Modi, Manoj Pandya, M.B. Potdar . Leukemia Detection using Digital Image Processing Techniques. International Journal of Applied Information Systems. 10, 1 ( November 2015), 43-51. DOI=10.5120/ijais2015451461

@article{ 10.5120/ijais2015451461,
author = { Himali P. Vaghela, Hardik Modi, Manoj Pandya, M.B. Potdar },
title = { Leukemia Detection using Digital Image Processing Techniques },
journal = { International Journal of Applied Information Systems },
issue_date = { November 2015 },
volume = { 10 },
number = { 1 },
month = { November },
year = { 2015 },
issn = { 2249-0868 },
pages = { 43-51 },
numpages = {9},
url = { https://www.ijais.org/archives/volume10/number1/836-2015451461/ },
doi = { 10.5120/ijais2015451461 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:02:07.626300+05:30
%A Himali P. Vaghela
%A Hardik Modi
%A Manoj Pandya
%A M.B. Potdar
%T Leukemia Detection using Digital Image Processing Techniques
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 10
%N 1
%P 43-51
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper discusses about methods for detection of leukemia. Various image processing techniques are used for identification of red blood cell and immature white cells. Different disease like anemia, leukemia, malaria, deficiency of vitamin B12, etc. can be diagnosed accordingly. Objective is to detect the leukemia affected cells and count it. According to detection of immature blast cells, leukemia can be identified and also define that either it is chronic or acute. To detect immature cells, number of methods are used like histogram equalization, linear contrast stretching, some morphological techniques like area opening, area closing, erosion, dilation. Watershed transform, K means, histogram equalization & linear contrast stretching, and shape based features are accurate 72.2%, 72%, 73.7 % and 97.8% respectively.

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Index Terms

Computer Science
Information Sciences

Keywords

Blood disease detection leukemia detection k means clustering watershed transform histogram equalizing and shape based features count number of red and white cells

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