Anemia is diagnosed by measuring the blood concentration of hemoglobin (Hb). In the literature, many studies have aimed to diagnose anemia with non-invasive methods, for example, estimating the pallor of the conjunctiva by means of digital images. In this way, this paper aims to identify a procedure for the automatic segmentation and optimization of conjunctiva sections. Therefore, image analysis algorithms have been applied to optimize the area of interest in terms of correlation with the estimated Hb value by blood sampling. Optimization was also possible through the study of the influence of image brightness on the correct Hb estimation by means of digital images of the conjunctiva. In conclusion, interesting experimental results were reported.
Automatic Segmentation of Relevant Sections of the Conjunctiva for Non-Invasive Anemia Detection
G. Dimauro;D. Caivano;
2018-01-01
Abstract
Anemia is diagnosed by measuring the blood concentration of hemoglobin (Hb). In the literature, many studies have aimed to diagnose anemia with non-invasive methods, for example, estimating the pallor of the conjunctiva by means of digital images. In this way, this paper aims to identify a procedure for the automatic segmentation and optimization of conjunctiva sections. Therefore, image analysis algorithms have been applied to optimize the area of interest in terms of correlation with the estimated Hb value by blood sampling. Optimization was also possible through the study of the influence of image brightness on the correct Hb estimation by means of digital images of the conjunctiva. In conclusion, interesting experimental results were reported.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
