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Rima Zuriah Amdani, Eka Pratiwi, Nadya Larasati kartika, Muhammad Azzumar


An experimental validation of flatness measurement based on image processing technique has been performed.  The purpose of this study is to know the performance of the image processing technique in the flatness measurement. In addition, this technique will be used as development of current measurement technique that is performed manually. The advantage of using this method is that in the future the measurement system will run semi-automatically, so it can increase the capacity. This study is used 3 samples of optical flat with different in diameter (i.e. 25 mm, 45 mm, and 75 mm). The validation has been performed by comparing measurement results of the image processing technique and the manual technique through degree of equivalence evaluation. The error numbers based on the degree of equivalence criteria between the image processing technique and the manual technique for the flatness measurement of 25 mm, 45 mm, and 75 mm are 0.02, 0.09, and 0.11 respectively. According to those error numbers, the image processing technique measurement results is in agreement with the manual technique. Moreover, those results have validated that the image processing technique has good performance and can potentially be implemented to the flatness measurement.


Flatness measurement, image processing technique, validation

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Air Wedge Interference Picture [Image] (n.d.). Retrieved from


Interference Pattern Formation Picture [Image] (n.d.). Retrieved from https://www.telescope-optics.net/testing_optical_quality.htm

Amdani, R. Z, Pratiwi, E, Rahman, R, & Purwowibowo. (2016). Studi awal pengaturan kamera untuk deteksi tepi pada citra frinji. PPI KIM 42, ISSN 0852- 002 X.

Abo-Zahhad, M., Gharieb, R. R., Ahmed, S. M., & Donkol, A. A. E. B. (2014). Edge detection with a preprocessing approach. Journal of Signal and Information Processing, 5(04), 123-134

Amdani, R. Z., Rahman, A., & Pratiwi, E. (2017). A study of comparison between window glass and mirror on flatness measurement in RCM LIPI. Procedia Engineering, 170, 352-356

Carabia & Martín, D. (2012). Image thresholding methods for their application to augmented reality environments. Unpublished Master Thesis. Universidad Complutense De Madrid.

De Groot, P., Biegen, J., Clark, J., de Lega, X. C., & Grigg, D. (2002). Optical interferometry for measurement of the geometric dimensions of industrial parts. Applied Optics, 41(19), 3853-3860.

Firmansyah, I., Priyatikanto, R., & Aria, U. J. (2015). Fotometri pleiades menggunakan kamera DSLR. Spektra: Jurnal Fisika dan Aplikasinya, 16(3), 1-5.

Filipe, E. (2010). Validation of measurement capabilities. Measurement, 43, 690-693

Gonzalez, R.C, Woods, R. E, & Eddins, S.L. (2009). Digital image processing using matlab. USA : Gatesmark Publishing

Wimmer, G & Witkovský, V. (2013). New procedure for calculating the uncertainty of one output quantity in calibration certificates. Measurement SPIE, 7018 701817-1

JIS B 7430-7431. (1977). Optical flat-optical parallel.

Rashmi, Kumar, M., & Saxena, R. (2013). Algorithm and technique on various edge detection: A survey. Signal & Image Processing, 4(3), 65.

Sezgin, M., & Sankur, B. (2004). Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic imaging, 13(1), 146-166.

Vala, H. J., & Baxi, A. (2013). A review on Otsu image segmentation algorithm. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2(2), 387-389.

Xu, C., Chen, L., & Yin, J. (2009). Method for absolute flatness measurement of optical surfaces. Applied optics, 48(13), 2536-2541.

DOI: http://dx.doi.org/10.31153/js.v21i3.778


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