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Comparative Study of HSV Color Model and Ycbcr Color Model to Detect Nucleus of White Cells

by Himali Vaghela, Hardik Modi, Manoj Pandya, M. B. Potdar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 8
Year of Publication: 2016
Authors: Himali Vaghela, Hardik Modi, Manoj Pandya, M. B. Potdar
10.5120/ijca2016911614

Himali Vaghela, Hardik Modi, Manoj Pandya, M. B. Potdar . Comparative Study of HSV Color Model and Ycbcr Color Model to Detect Nucleus of White Cells. International Journal of Computer Applications. 150, 8 ( Sep 2016), 38-42. DOI=10.5120/ijca2016911614

@article{ 10.5120/ijca2016911614,
author = { Himali Vaghela, Hardik Modi, Manoj Pandya, M. B. Potdar },
title = { Comparative Study of HSV Color Model and Ycbcr Color Model to Detect Nucleus of White Cells },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 8 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number8/26116-2016911614/ },
doi = { 10.5120/ijca2016911614 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:55:52.235147+05:30
%A Himali Vaghela
%A Hardik Modi
%A Manoj Pandya
%A M. B. Potdar
%T Comparative Study of HSV Color Model and Ycbcr Color Model to Detect Nucleus of White Cells
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 8
%P 38-42
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Main objective of this paper is to extract nucleus of white cells using image processing techniques.Here, nucleus of white cells are extracted from images using HSV color space and YCbCr color space. Using both of method, comparison between two methods has been checked. It has been proved that YCbCr is better than HSV color model by some experiment. Here, experiment is done on 15 images. HSV color model is given accurate result only on 5 images out of 15 and YCbCr color is given accurate model only on13 images out of 15. So accuracy of HSV and YCbCr model is 33.34% and 86.67% respectively. Here, white cell nucleus detection is useful to detect, blood cancer or Leukemia. It reduce processing time of pathologist and give result in short period of time.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Nucleus of white cell detection HSV color model YCbCr color model image processing

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