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Precise sub-pixel size measurement with linear interpolation

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
High precision automated size measurements are required during industrial and scientific applications. The principle of sub-pixel measuring is based on an intensity interpolation algorithm. Combined with the characteristics of light, a system with high precision, short measuring time and low cost was developed. The proposed system is then applied to the measurement of 5 cm objects and compared with traditional measuring techniques. The experiment demonstrates that the measuring accuracy can reach up to 0.012 μm, and that the measurement size of the system is practical and prompt. In addition, it is able to meet the requirement for industrial applications in a variety of settings with stable performance and high precision.
Czasopismo
Rocznik
Strony
113—123
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
autor
  • The State Key Laboratory of Mechanical Transmission, Chongqing 400044, China
autor
  • School of Software Engineering, Chongqing University, Chongqing 401331, China
  • zyyang@cqu.edu.cn
autor
  • The State Key Laboratory of Mechanical Transmission, Chongqing 400044, China
Bibliografia
  • [1] FISCHER J., PRIBULA O., Precise subpixel position measurement with linear interpolation of CMOS sensor image data, The 6 IEEE International Conference on Intelligent Data Acquisition and Advanced Computing system: Technology and Applications, September 15–17, 2011, pp. 500–504.
  • [2] SŁADEK J., OSTROWSKA K., KOHUT P., HOLAK K., GĄSKA A., UHL T., Development of a vision based deflection measurement system and its accuracy assessment, Measurement 46(3), 2013, pp. 1237–1249.
  • [3] LAMY C., BASSET M., A vision-based approach to wheel camber angle and tyre loaded radius measurement, Sensors and Actuators A: Physical 161(1–2), 2010, pp. 134–142.
  • [4] SAMPSON D.J., YOUNG KI CHANG, VASANTHA RUPASINGHE H.P., QAMAR UZ ZAMAN, A dual-view computer-vision system for volume and image texture analysis in multiple apple slices drying, Journal of Food Engineering 127(4), 2014, pp. 49–57.
  • [5] GIROLAMI A., NAPOLITANO F., FARAONE D., BRAGHIERI A., Measurement of meat color using a computer vision system, Meat Science 93(1), 2013, pp. 111–118.
  • [6] QUINE B.M., TARASYUK V., MEBRAHTU H., HORNSEY R., Determining star-image location: a new sub-pixel interpolation technique to process image centroids, Computer Physics Communications 177(9), 2007, pp. 700–706.
  • [7] KARIMIRAD F., CHAUHAN S., SHIRINZADEH B., Vision-based force measurement using neural networks for biological cell microinjection, Journal of Biomechanics 47(5), 2014, pp. 1157–1163.
  • [8] JONG-WOONG PARK, JONG-JAE LEE, HYUNG-JO JUNG, HYUN MYUNG, Vision-based displacement measurement method for high-rise building structures using partitioning approach, NDT & E International 43(7), 2010, pp. 642–647.
  • [9] LI QINGLI, et al., A improved subpixel edge detecting algorithm based on polynomial interpolation, Journal of Jilin University (Engineering and Technology Edition) 25(3), 2003, pp. 280–283, (in Chinese).
  • [10] CUI JIWEN, TAN JIUBIN, Algorithm for edge subpixel location based on Zernike moment, Optical Technique 31(5), 2005, pp. 779–785.
  • [11] IZADPANAHI S., DEMIREL H., Motion based video super resolution using edge directed interpolation and complex wavelet transform, Signal Processing 93(7), 2013, pp. 2076–2086.
  • [12] STM32 Reference Manual.
  • [13] MALMBERGA F., LINDBLAD J., SLADOJE N., NYSTRÖM I., A graph-based framework for sub-pixel image segmentation, Theoretical Computer Science 412(15), 2011, pp. 1338–1349.
  • [14] SHAN Y., BOON G.W., Sub-pixel location of edges with non-uniform blurring: a finite closed-form approach, Image and Vision Computing 18(13), 2000, pp. 1015–1023.
  • [15] RAMDANI S., BOUCHARA F., DJEMAL K., Probability distribution of sub-pixel edge position, Signal Processing 84(3), 2004, pp. 445–452.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d92d63c7-a0fd-42b1-90d5-98fbd415dba7
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