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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
Automatic Thresholding of Infected Blood Images Using Granulometry and Regional Extrema
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
ASCII Text
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Cecilia Di Ruberto, Andrew Dempster, Shahid Khan, Bill Jarra, "Automatic Thresholding of Infected Blood Images Using Granulometry and Regional Extrema," Pattern Recognition, International Conference on, vol. 3, pp. 3445, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.903579,
author = {Cecilia Di Ruberto and Andrew Dempster and Shahid Khan and Bill Jarra},
title = {Automatic Thresholding of Infected Blood Images Using Granulometry and Regional Extrema},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2000},
isbn = {0-7695-0750-6},
pages = {3445},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903579},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Automatic Thresholding of Infected Blood Images Using Granulometry and Regional Extrema
SN - 0-7695-0750-6
SP
EP
A1 - Cecilia Di Ruberto,
A1 - Andrew Dempster,
A1 - Shahid Khan,
A1 - Bill Jarra,
PY - 2000
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Cecilia Di Ruberto, University of Cagliari
Andrew Dempster, University of Westminster
Shahid Khan, National Institute of Medical Research
Bill Jarra, National Institute of Medical Research
This work introduces a morphological method for detecting malaria parasites in images of Giemsa stained blood slides. Generally, blood images are made up of three different kinds of cells, red, white and blood platelets. Their dimensions and their color distinguish these. In malarial blood, the red corpuscles of vertebrates are infected by malaria parasites. The aim of the first part of our system is to detect the parasites by means of an automatic thresholding based on a morphological approach, using granulometries to evaluate the size of the red cells and the nuclei of parasites, and the regional maxima to mark the nuclei of parasites.
Citation:
Cecilia Di Ruberto, Andrew Dempster, Shahid Khan, Bill Jarra, "Automatic Thresholding of Infected Blood Images Using Granulometry and Regional Extrema," icpr, vol. 3, pp.3445, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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