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Detection of facial areas in ThERMAL IMAGES


This article deals with non-contact measurement of temperature in a human faces and describes program for the evaluation of temperature changes. It describes the algorithm of the program, the possibility of using and further deals with the possibilities of the segmentation of thermal images. Variety of image processing methods were used to design this algorithm including registration of images, segmentation using k-means clustering, Hough transformation, thresholding and others. The aim is to distinguish a human face from the hair and background. It also describes the possibility of detection of individual facial details. The functionality of those procedures was tested on experimental data.

Keywords:
Non-contact temperature measurement, thermal imager, thermogram registration of the images, image segmentation


Autoři: Dana Kolářová 1,2;  Vladan Bernard 2
Působiště autorů: Brno University of Technology, Faculty of Electrical Engineering and Communications, Department of Biomedical Engineering, Brno, Czech Republic 1;  Masaryk University, Faculty of Medicine, Department of Biophysics, Brno, Czech Republic 2
Vyšlo v časopise: Lékař a technika - Clinician and Technology No. 2, 2015, 45, 48-52
Kategorie: Původní práce

Souhrn

This article deals with non-contact measurement of temperature in a human faces and describes program for the evaluation of temperature changes. It describes the algorithm of the program, the possibility of using and further deals with the possibilities of the segmentation of thermal images. Variety of image processing methods were used to design this algorithm including registration of images, segmentation using k-means clustering, Hough transformation, thresholding and others. The aim is to distinguish a human face from the hair and background. It also describes the possibility of detection of individual facial details. The functionality of those procedures was tested on experimental data.

Keywords:
Non-contact temperature measurement, thermal imager, thermogram registration of the images, image segmentation


Zdroje

[1] S. Klein, M. Staring, K. Murphy, M. A. Viergever, J. P. W. Pluim "elastix: a toolbox for intensity based medical image registration," IEEE Transa ctions on Medical Imaging, vol. 29, no. 1, pp. 196 - 205, January 2010.

[2] H. Qi, J. Head, Asymmetry analysis using automatic segmentation and classification for breast cancer detection in thermograms, in: Proc. 23rd Annual International Conference of the IEEE EMBS, Turkey, 2001, pp. 2866-2869.

[3] Color-Based Segmentation Using K-Means Clustering. Mathworks - MATLAB &Simulink for Technical Computing [online]. [cit. 2014-08-12]. URL: http://www.mathworks.com/help/images/examples/

Štítky
Biomedicína
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