Model-Based Digital Image Correlation for Noncontact Deformation Measurement of Strain Field and Mechanical Property

Huang, Yang; Ji, Jingjing; Lee, Kok-Meng

doi:10.1109/tii.2019.2896167

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…The third transforms the point into the sensor coordinate system [27]. Assuming a point in 3D space with its coordinates (X w , Y w , Z w ) where w signifies the world coordinate system and the camera [18] coordinates (X, Y, Z). The sen- (1) sor coordinates are (x p , y p ) the focal length coordinates in pixels are (f x , f y ) and the center of the image plane [27] is (C x , C y ).…”

Section: Template Tracking In Motion Estimationmentioning

confidence: 99%

“…Most of the motiontracking algorithms include features obtained from digital images. The digital image correlation algorithm includes subset-based correlation and element-based global correlation [18]. It was found that most of the optical flow estimation methods assume the constant brightness intensity of a pixel under the frame-wise displacement.…”

Section: Introductionmentioning

confidence: 99%

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Correlation-Based Template Tracking Of Moving Object

Tekwani

Raj

2022

Int. j. electr. comput. eng. syst. (Online)

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This paper presents the correlation-based motion estimation technique for the 3D displacement of objects. Two high-speed cameras are configured as a stereovision system and synchronized in real-time. Finger and hand motions are captured in form of digital images at 1500 fps and 2000 fps respectively. A complete motion acquisition system is calibrated to determine the intrinsic and extrinsic parameters which were later used in the correlation algorithm. The grayscale image frames acquired from the cameras are correlated using square templates of 10x10 pixels created from the reference image. The finger and hand motion are discussed with varying camera speed as a measure of brightness inconsistency. The observations in the correlation coefficient indicate that the proposed algorithm is efficient up to 20 and 50 templates for the finger and hand motion cases respectively. The correlation coefficient for finger motion was increased to 0.987 and 0.972 for the left and right cameras, respectively, while the correlation coefficient for hand motion was 0.924 and 0.898. The proposed algorithm is developed in MATLAB and validated by tracing the sinusoidal motion of a solid rectangular element from the image correlation technique and an accelerometer sensor mounted over the block.

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Section: Template Tracking In Motion Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Correlation-Based Template Tracking Of Moving Object

Tekwani

Raj

2022

Int. j. electr. comput. eng. syst. (Online)

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“…In the past, the method connecting the results to the FEM was mainly used to reproduce the value of a kinematic variable using the displacement information acquired through direct measurement or from an image of any location [16][17][18]. Huang et al [19] improved the computational efficiency and accuracy of the existing digital image correlation technique by combining it with FEM. Hosdez et al [20] updated the boundary conditions at the crack tip of a crack propagation in a FEM model by combining the displacement measured by the digital image correlation and FEM.…”

Section: Introductionmentioning

confidence: 99%

Experiment-Based Synthetic Structural Analysis Combining Digital Image Processing and a Strong Form Meshfree Method

et al. 2020

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This paper presents an experiment-based synthetic structural analysis method that combines digital image processing (DIP) and the particle difference method (PDM), which is a strong form-based meshfree method. The proposed method uses images to determine the displacement of deformed specimens, interpolates the displacement onto nodes of the PDM model without meshes or grids, and calculates the kinematic variables. Furthermore, the pixel extraction method for the target area and the method of setting the region of interest for expediting DIP were used during the synthetic structural analysis. A method for effectively expanding the number of tracking points and an improved method for labeling tracking points are also presented. To verify the performance of the analysis, the experimental and numerical analysis results of a three-point bending test on a rubber beam were compared in terms of various mechanical variables as well as with the PDM results of a simulated bending test. It was found that tracking point expansion and adjusting the radius of the domain of influence are advantageous for performing an accurate calculation without losing computational efficiency. It was demonstrated that the synthetic structural analysis effectively overcomes the shortcomings of the conventional experiments and the limitations of pure simulations.

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