Hybrid segmentation of fluorescent Leschmania-infected images using a watersched and combined region merging based method.
Annu Int Conf IEEE Eng Med Biol Soc
; 2016: 3910-3913, 2016 Aug.
Article
em En
| MEDLINE
| ID: mdl-28269140
ABSTRACT
Automatic parasite segmentation in fluorescent images is of high importance as it serves as an easier and faster tool for detecting and counting parasites in each focus. In this paper we present a hybrid segmentation for the Promastigote form of Leishmania parasites in Indirect Immunofluorescence (IIF) images, combining edge and region-based techniques through the morphological algorithm of watershed. The proposed approach deals first with a pre-processing step to correct illumination non-uniformities in the fluorescence Leishmania-infected images before performing the initial segmentation by means of the watershed algorithm. A merging step using joint region homogeneity and edge integrity criteria is then applied to improve the segmentation results. Segmentation tests of 1438 parasites from 40 collected IIF images illustrate the efficiency of our approach.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Leishmaniose
/
Técnica Indireta de Fluorescência para Anticorpo
/
Leishmania
Tipo de estudo:
Diagnostic_studies
Limite:
Animals
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Ano de publicação:
2016
Tipo de documento:
Article