Determination of temperature in neonates based in a face IR thermography image segmentation algorithm

The temperature is a factor for the health of a newborn. In this paper, an algorithm for automatic face segmentation in digital thermal images of is proposed. A one hundred thermal images database was belonging to five different neonates, twenty images for each one. For the neonate facial segmentation, the active contour method Chan-Vese was used and for the separation of interest regions, fuzzy sets were implemented. The temperature data obtained using two mathematical equations. For interpretation of the data, a graphical user interface was created, where the user can choose between automatic or manual mode, for the analysis of the temperature. Finally, the proposed algorithm was tested using metric of segmentation.