THE DEVELOPMENT OF IMAGE PROCESSING METHOD ON THE AUTOMATIC READING SYSTEM OF THE GLASS THERMOMETER USING A DIGITAL CAMERA

  • Gianto Gianto Pusat Pengembangan Sumber Daya Kemetrologian. Jl. Daeng Muhammad Ardiwinata km. 3,4, Cihanjuang, Kec. Parongpong, Kabupaten Bandung Barat, Jawa Barat 40559, Indonesia
  • Vera Firmansyah Akademi Metrologi dan Instrumentasi, Jl. Daeng Muhammad Ardiwinata km. 3,4, Cihanjuang, Kec. Parongpong, Kabupaten Bandung Barat, Jawa Barat 40559, Indonesia
  • Irwan Setiawan Pusat Pengembangan Sumber Daya Kemetrologian. Jl. Daeng Muhammad Ardiwinata km. 3,4, Cihanjuang, Kec. Parongpong, Kabupaten Bandung Barat, Jawa Barat 40559, Indonesia
  • Achsan Rifani Pusat Pengembangan Sumber Daya Kemetrologian. Jl. Daeng Muhammad Ardiwinata km. 3,4, Cihanjuang, Kec. Parongpong, Kabupaten Bandung Barat, Jawa Barat 40559, Indonesia
Keywords: LiGT, image processing, automated reading, temperature measurement

Abstract

The reading performance of an analog thermometer, Liquid in Glass Thermometer (LiGT), can be improved using a digital camera. The aim is to minimize the human error on the reading of LiGT and increase the accuracy of temperature measurement results. In order to achieve an accurate result, a robust image processing method is required in the measurement. In this work, the LiGT image generated using a digital camera is analyzed using the technique in HSV color space which consists of some image processing methods (e.g., thresholding, morphology filter). The type of LiGT used is the glass thermometer with the colored liquid. There are three main parts to this developed technique process, i.e., identifying the scale of LiGT to calculate the pixel per temperature unit value (ppt), segmentation of the liquid column, and calculate the temperature based on the ppt value. Through simulation with a synthetic image, we demonstrate that the developed technique in this work has successfully read (measured) the temperature value of the LiGT (having a scale unit of 1oC) with a measurement error of 0.04oC. In the experimental results, we also report the developed technique performed on a real image of LiGT.

References

Jacquelyn Wise, “NIST Measurement Services: Liquid In Glass Thermometer Calibration Service,” 1988.

ORGANISATION INTERNATIONALE DE MÉTROLOGIE LÉGALE, “Recommendation OIML R 133: Liquid In Glass Thermometer,” vol. 2002, 2002.

C. William, Dunn, “Fundamentals of Industrial Instrumentation and Process Control,” New York: McGraw Hill, 2018.

I. Pu et al., “Methods of Reading Liquid-in-Glass Thermometers,” vol. 68, no. 4, pp. 225-230, 2001.

V. Batagelj, J. Bojkovski, and I. Pušnik, “Reading of Thermometers using a Video Camera,” 2000.

B. Herlambang, D. Larasati, and A. Prihartono, “Peningkatan Kemampuan Sistem Kalibrasi Termometer,” pp. 34-43, 2018.

X. Yi et al., “Reading Identification Algorithms of Mercury Thermometer Based on Machine Vision,” pp. 232-235, 2009.

J. C. P. Cheung et al., “An Automated Thermometer Calibration System Imaging Technology: An Automated Thermometer Calibration System Using Optical Character Recognition and Video Imaging Technology,” vol. 5775, May 2016.

Roy Davies, “Computer Vision,” 2017.

C. Learning, A. R. Reserved, and C. Learning, “Image Processing,” Analysis, and Machine Vision, 2015.

R. Hassan, R. R. Ema, and T. Islam, “Color Image Segmentation using Automated,” vol. 17, no. 2, 2017.

P. Widodo, G. D. Haryadi, and A. Widodo, “Induction Motor Centrifugal Blower Health Diagnostic Based on Color Segmentation of Thermal Image and Vibration Signal Feature,” vol. 2002, pp. 1-6, 2018.

J. Wang et al., “Quantitative Analysis on Mathematical Morphology,” 2018 12th IEEE Int. Conf. Anti-counterfeiting, Secur. Identif, no. 4, pp. 103-106, 2018.

Y. Wu, X. Peng, and K. Ruan, “Improved image segmentation method based on morphological reconstruction,” Multimed. Tools Appl, 2015.

Published
2021-04-30
How to Cite
Gianto, G., Firmansyah, V., Setiawan, I., & Rifani, A. (2021). THE DEVELOPMENT OF IMAGE PROCESSING METHOD ON THE AUTOMATIC READING SYSTEM OF THE GLASS THERMOMETER USING A DIGITAL CAMERA. Spektra: Jurnal Fisika Dan Aplikasinya, 6(1), 1 - 8. https://doi.org/10.21009/SPEKTRA.061.01