Analysis of infected blood cell images using morphological operators

摘要

This work describes a system for detecting and classifying malaria parasites in images of Giemsa stained blood slides in order to evaluate the parasitaemia of the blood. The first aim of our system is to detect the parasites by means of an automatic thresholding based on a morphological approach. A major requirement of the whole system is an efficient method to segment cell images. So the paper also introduces a morphological approach to cell image segmentation, that is, more accurate than the classical watershed-based algorithm. We have applied grey scale granulometries based on opening with disk-shaped elements, flat and hemispherical.