Title :
Determination of temperature in neonates based in a face IR thermography image segmentation algorithm
Author :
Chavez Rivera, Lucia B. ; Ortega Maynez, Leticia ; Ambrosio Lazaro, Roberto C.
Author_Institution :
Inst. de Ing. y Tecnol., Univ. Autonoma de Ciudad Juarez, Ciudad Juárez, Mexico
fDate :
Sept. 29 2014-Oct. 3 2014
Abstract :
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.
Keywords :
fuzzy set theory; graphical user interfaces; image segmentation; infrared imaging; medical image processing; active contour method; face IR thermography; fuzzy sets; graphical user interface; image segmentation algorithm; infrared thermography; mathematical equation; neonate facial segmentation; neonates temperature; newborn health; segmentation metric; temperature analysis; thermal image database; Equations; Face; Histograms; Image segmentation; Pediatrics; Temperature; Temperature measurement;
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control (CCE), 2014 11th International Conference on
Conference_Location :
Campeche
Print_ISBN :
978-1-4799-6228-0
DOI :
10.1109/ICEEE.2014.6978314
