B-spline approximation methods for digital image reconstruction in strain measurement

Deng, Haiqin; Ben-Zvi, Amos; Wiskel, J. B.; Henein, H.

doi:10.1016/j.jmatprotec.2009.11.004

Cited by 8 publications

(2 citation statements)

References 13 publications

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“…This method also measures the non-uniform strain distribution. The paper [4] shows a non-invasive digital imaging procedure for strain measurement. Three B-spline approximation methods are evaluated using the set of digital image data.…”

Section: Literature Reviewmentioning

confidence: 99%

Strain measurement using 3D stereo image correlation

Kumari

Banik

Premi

2015

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

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The demand of 3D image is growing sharply in the recent trends. Digital image processing performs image processing on digital images by the use of computer algorithms. Strain measurement is a big challenge for 3D images in the field of image processing. This paper proposed a noble algorithm for strain measurement of 3D stereo image using image processing for applications like non-invasive bio-sensing, non-contact measurements of space crafts, faults in pipeline industries, etc. Strain measurement is made possible with the help of filtration techniques and digital image correlation.

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Section: Literature Reviewmentioning

confidence: 99%

Strain measurement using 3D stereo image correlation

Kumari

Banik

Premi

2015

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

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“…The method of stress measurement is generally determined by the strain test value, through the known material relations σ ε − curve, the strain value can be transformed to stress value. Therefore, the strain-gauging plays an important role in the structural testing and monitoring, and strain-gauging is often the foundation of other physical quantity survey [1,2].…”

Section: Introductionmentioning

confidence: 99%

Application of Digital Image Monitoring System in Strain Measurement of Cantilever Steel Beam

Wen

Zhao

et al. 2010

AMM

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The realization of strain measurement based on digital image processing technique is discussed. Combined with the strain measurement principle and the optical imaging feature, considered the axisymmetrical and non-axisymmetrical distortion, the automatic surface-fitting calibration method based on region growing is adopted. Cubic polynomial is applied to establish the relationship between the object space and pixel coordinate system. The expectations based on wavelet coefficients are used for sub-pixel edge detection, measurement accuracy can reach 0.02 pixels. Accuracy of displacement for strain measurement achieves micrometer-level. The theoretic validity and practical feasibility of the system are proved by the strain measurement of a cantilever steel beam.

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