Precise Test Sieves Calibration Method Based on Off-axis Digital Holography

Abdelsalam, D.G.; Baek, Byung Joon; Kim, Daesuk

doi:10.3807/josk.2011.15.2.146

Cited by 9 publications

(8 citation statements)

References 11 publications

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“…With respect to the automatic calibration of sieves, only the approaches proposed by Abdelsalam et al [4], Belan et al [12] and Guo et al [2] were found in our literature review. Abdelsalam et al [4] developed an approach based on off-axis digital holography and fast Fourier transform (FFT), in which a light beam emitted against the grid of the sieve is acquired by a CCD camera and the resultant image processed using the FFT, in order to reconstruct and analyze the grid. Although the authors claim that the method is robust and precise, they do not mention the error rate of the proposed system, in comparison with conventional methods, nor the time spent analyzing the sieve.…”

Section: Introductionmentioning

confidence: 94%

“…In addition, the accuracy of the measurement process can be significantly affected when the instrument or device to be calibrated has no data communication interface. In this case, the probability of the occurrence of human error is greatly increased, due to the various readings and transcriptions of data required, which constitute a stressful task [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…During the last two decades, computer vision approaches have been proposed in the literature for the automatic calibration of analog and digital measuring instruments [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. A common problem found in these works is a segmentation fault, specifically caused by changes in brightness and camera angle, which severely affects the robustness of the vision system.…”

Section: Introductionmentioning

confidence: 99%

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A machine vision system for automatic sieve calibration

Belan¹,

Araújo²,

Librantz³

2019

Meas. Sci. Technol.

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Low measurement efficiency is a recurrent problem in calibration laboratories, especially when the instruments to be calibrated are mechanical and do not have a built-in communication interface. In the case of a sieve calibration procedure, for example, low measurement efficiency caused by a small number of examined openings could compromise the quality of the judging process. In addition, conventional manual calibration methods present some intrinsic disadvantages, such as the high consumption of time and the fact that the calibration may be subject to human error. In this paper, a machine vision system (a set of hardware and software) is presented for the automatic calibration of sieves. Experiments were carried out to validate the method and equipment presented in this work and the results indicated that the proposed machine vision can measure sieves, with a high sampling of openings, and with high efficiency and accuracy. In addition, the results showed a reduction of approximately 92% in the time spent on the calibration process, when compared to traditional methods, with the same accuracy.

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Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A machine vision system for automatic sieve calibration

Belan¹,

Araújo²,

Librantz³

2019

Meas. Sci. Technol.

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“…Calibration of surfaces with high accuracy is needed for many applications in industry. [1][2][3][4][5][6][7][8][9][10][11][12][13] In some applications such as calibration of gauge blocks 14 and references of the interferometers, 15 it is of practical importance to estimate the uncertainty budget of the measurement result to verify the conformance of the components. 16 Optical interferometers have been extensively used as noncontact instruments for accurate surface measurement.…”

Section: Introductionmentioning

confidence: 99%

Estimation of an uncertainty budget and performance measurement for a dual‐wavelength Twyman‐Green interferometer

Ibrahim

2021

Journal of Microscopy

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In this paper, the uncertainty budget from 10 sources we claim they have direct impact on measurement is estimated. The measurement has been applied to nominal step heights of 1.34 and 1.50 μm using a dual-wavelength Twyman-Green interferometer. Experimental results show that the measured step heights match with their nominal values with expanded uncertainty in the range of 5% from the object being measured. The performance of the measurement process over time has been estimated at different confidence levels and the obtained results show that the process is maintained in a state of statistical control. To the best of our knowledge, this is the first report for estimation of uncertainty budget from a synthetic wavelength.

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“…Three-dimensional (3D) holographic imaging systems [1][2][3][4][5][6][7][8][9][10] have been investigated for achieving reliable and non-invasive recognition and for identifying biological micro /nano organisms [11][12][13][14]. The 3D holographic imaging system for biological microorganism analysis has a large number of biological applications such as medical diagnosis, medical therapeutics, bio-medical imaging, defense, and security.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of 3D Volume of Red Blood Cells with Different Shapes via Digital Holographic Microscopy

Lee

Moon

2012

Journal of the Optical Society of Korea

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In this paper, we present a method to automatically quantify the three-dimensional (3D) volume of red blood cells (RBCs) using off-axis digital holographic microscopy. The RBCs digital holograms are recorded via a CCD camera using an off-axis interferometry setup. The RBCs' phase image is reconstructed from the recorded off-axis digital hologram by a computational reconstruction algorithm. The watershed segmentation algorithm is applied to the reconstructed phase image to remove background parts and obtain clear targets in the phase image with many single RBCs. After segmenting the reconstructed RBCs' phase image, all single RBCs are extracted, and the 3D volume of each single RBC is then measured with the surface area and the phase values of the corresponding RBC. In order to demonstrate the feasibility of the proposed method to automatically calculate the 3D volume of RBC, two typical shapes of RBCs, i.e., stomatocyte/discocyte, are tested via experiments. Statistical distributions of 3D volume for each class of RBC are generated by using our algorithm. Statistical hypothesis testing is conducted to investigate the difference between the statistical distributions for the two typical shapes of RBCs. Our experimental results illustrate that our study opens the possibility of automated quantitative analysis of 3D volume in various types of RBCs.

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Precise Test Sieves Calibration Method Based on Off-axis Digital Holography

Cited by 9 publications

References 11 publications

A machine vision system for automatic sieve calibration

A machine vision system for automatic sieve calibration

Estimation of an uncertainty budget and performance measurement for a dual‐wavelength Twyman‐Green interferometer

Statistical Analysis of 3D Volume of Red Blood Cells with Different Shapes via Digital Holographic Microscopy

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