Nostril in RGB Imaginary by Using NI Vision LabVIEW

  • Hendrick Hendrick
  • Aripriharta Aripriharta
  • Siang-Kai Chen
  • Meng-Hsiung Tung
  • Ta-Chi Chiang
  • Gwo-Jia Jong


Monitoring of breath function is needed for medical science to evaluate condition of patient for some diseases. The patient will be observed continuously on face (nostril). Face recognition is the most important stage to localize the measurement. Because of that need, thermal image is used to record changing temperature on patient face. Thermal image has two type image, gray and RGB image. In this paper, we used RGB image as the raw data and trying to find face, eye and, nostril as breathing indicator. We divided the nostril recognition in three main steps: eyes detection, calculate the center of mass between two eyes, measured the center of mass distance to nose, get nostril location. We applied image processing algorithm such as gray image, binary image and template matching. All those algorithm are programmed in NI Vision LabVIEW. The distance between subject and camera is fixed in 1 meter. The experimental result showed that nostril always detected even though the subjects have some movements during measurement. 


Y. W. Wu, H. Liu, and H. B. Zha, “Modeling facial expression space for recognition,” IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1968-1973, 2005.

Mehrube and L. M. Pham, “Real-Time Eye Tracking Using a Smart Camera,” Proc. Applied Imagery Pattern Recognition Workshop, November, 2014.

C. B. Pereira, X. Yu, V. Blazek, and S. Leonhardt, “Robust remote monitoring of breathing function by using infrared thermography,” The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’15), pp. 4250-4253, 2015.

A. K. Abbas, K. Heimann, K. Jergus, T. Orlikowsky, and S. Leonhardt, “Neonatal non-contact respiratory monitoring based on real-time infrared thermography,” Biomedical Engineering OnLine, vol. 10, no. 93, pp. 1-17, 2011.

How to Cite
Hendrick, H., Aripriharta, A., Chen, S.-K., Tung, M.-H., Chiang, T.-C., & Jong, G.-J. (2016). Nostril in RGB Imaginary by Using NI Vision LabVIEW. Proceedings of Engineering and Technology Innovation, 4, 37-39. Retrieved from

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