Study on Improvement of Measurement Precision in Digital Image Correlation Measurement Method by Using Subpixel Algorithms

이미지 상관법의 서브 픽셀 알고리즘을 이용한 측정 분해능 향상에 관한 연구

Kim, Seung Jong;Kang, Young Jun;Choi, In Young;Hong, Kyung Min;Ryu, Won Jea

  • Received : 2015.01.16
  • Accepted : 2015.09.08
  • Published : 2015.12.01


Contact type sensors (e.g., displacement sensor and strain gauge) were typically used to evaluate the safety and mechanical properties in machines and construction. However, those contact type sensors have been constrained because of measurement problems such as surface roughness, temperature, humidity, and shape. The Digital Image Correlation (DIC) measurement system is a vision measurement system. This measurement system uses the taken image using a CCD camera and calculates the image correlation between the reference image and the deformed image under external force to measure the displacement and strain rates. In this paper, we discuss methods to improve the measurement precision of the digital image correlation measurement system. A tensile test was conducted to compare the precision improvement effects, by using the universal test machine and the DIC measurement system, with the use of subpixel algorithms, i.e., the Coarse Fine Search (CFS) algorithm and the Peak Finding (PF) algorithm.


Digital image correlation;Sub pixel algorithm;Aluminum 5052;Tensile test;Extensometer


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Supported by : 한국연구재단, 한국에너지기술평가원(KETEP)