Memorias de investigación
Ponencias en congresos:
Malaria Cell Counting Diagnosis within Large Field of View
Año:2010
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
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
Internacional
Si
Nombre congreso
Digital Image Computing: Techniques and Applications DICTA 2010
Tipo de participación
960
Lugar del congreso
Sydney, Australia
Revisores
Si
ISBN o ISSN
978-0-7695-4271-3
DOI
10.1109/DICTA.2010.40
Fecha inicio congreso
01/12/2010
Fecha fin congreso
03/12/2010
Desde la página
172
Hasta la página
177
Título de las actas
Proc. Digital Image Computing: Techniques and Applications DICTA 2010
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Narciso Garcia Santos UPM
  • Participante: Li-hui Zou Beijing Institute of Technology
  • Participante: Jie Chen Beijing Institute of Technology
  • Participante: Juan Zhang Beijing Institute of Technology
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones