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

fYear

2014

fDate

Sept. 29 2014-Oct. 3 2014

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICEEE.2014.6978314

Filename

6978314