Malaria Cell Counting Diagnosis within Large Field of View

Zou, Li-hui and Chen, Jie and Zhang, Juan and García Santos, Narciso (2010). Malaria Cell Counting Diagnosis within Large Field of View. In: "International Conference on Digital Image Computing: Techniques and Applications DICTA 2010", 01/12/2010 - 03/12/2010, Sydney, Australia. ISBN 978-1-4244-8816-2.

Description

Title: Malaria Cell Counting Diagnosis within Large Field of View
Author/s:
  • Zou, Li-hui
  • Chen, Jie
  • Zhang, Juan
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference on Digital Image Computing: Techniques and Applications DICTA 2010
Event Dates: 01/12/2010 - 03/12/2010
Event Location: Sydney, Australia
Title of Book: Proceedings of the International Conference on Digital Image Computing: Techniques and Applications DICTA 2010
Date: 2010
ISBN: 978-1-4244-8816-2
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Malaria is one of the most serious parasitic infections of human. The accurate and timely diagnosis of malaria infection is essential to control and cure the disease. Some image processing algorithms to automate the diagnosis of malaria on thin blood smears are developed, but the percentage of parasitaemia is often not as precise as manual count. One reason resulting in this error is ignoring the cells at the borders of images. In order to solve this problem, a kind of diagnosis scheme within large field of view (FOV) is proposed. It includes three steps. The first step is image mosaicing to obtain large FOV based on space-time manifolds. The second step is the segmentation of erythrocytes where an improved Hough Transform is used. The third step is the detection of nucleated components. At last, it is concluded that the counting accuracy of malaria infection within large FOV is finer than several regular FOVs

More information

Item ID: 9236
DC Identifier: http://oa.upm.es/9236/
OAI Identifier: oai:oa.upm.es:9236
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5692560
Deposited by: Memoria Investigacion
Deposited on: 17 Oct 2011 08:44
Last Modified: 20 Apr 2016 17:44
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