TY  - JOUR 
TI  - Automated image analysis method for p-vivax malaria parasite detection in thick film blood images
JO  - Sistemas y Telemática;Vol. 10, No. 20
PB  - Universidad Icesi
PY  - 2012
issn 16925238
AB  - An image analysis method for Malaria parasite detection
in thick film blood images is described. The developed
method uses a combination of AGNES [Absence of gradients and Nernstian equilibrium stripping] and Morphological Gradient techniques in the image segmentation stage. Wavelet-based feature extraction is followed by a neural network classification stage.
Principal Component Analysis (PCA) is used to reduce
the number of features and improve the performance
of the neuronal network. The true positive rate for
determining a specific parasite was of 77.19%, while a 76.45% was obtained in determining at least a parasite in a microscopy image.
KW  - FACULTAD DE INGENIERÍA
KW  - MALARIA
KW  - PRODUCCIÓN INTELECTUAL REGISTRADA - UNIVERSIDAD ICESI
KW  - REDES NEURONALES
KW  - MICROSCOPIA
KW  - ANÁLISIS
KW  - SISTEMA & TELEMÁTICA
UR  - http://www.icesi.edu.co/revistas/index.php/sistemas_telematica/article/view/1151
ER  -