Surface Depth-Mapping of Material via the Transport-of-Intensity Equation

Stsepuro, Nikita; Kovalev, M. S.; Krasin, George; Podlesnykh, Ivan; Gulina, Yulia; Kudryashov, S. I.

doi:10.3390/photonics9110815

Photonics

2022

DOI: 10.3390/photonics9110815

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Surface Depth-Mapping of Material via the Transport-of-Intensity Equation

Nikita Stsepuro

M. S. Kovalev

George Krasin

et al.

Abstract: We present a new approach for a surface characterization based on the TIE method combined with the SEM. Experimental verification is carried out on the example of characterization of a crater on the surface of monocrystalline silicon (111). The approach is universal and can be used for any opaque object. It improves the robustness and stability of the quantitative phase retrieval process and has two important features. Firstly, it allows one to quantitatively retrieve the phase in a region of arbitrarily chose… Show more

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Quantitative Characterization of Pore Structure Parameters in Coal Based on Image Processing and SEM Technology

Jia

Huang

2023

Energies

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The pore structure parameters of coal have an important influence on the exploration and development of coalbed methane. In this study, a series of pore structure parameters, including porosity, pore radius, pore throat radius, pore coordination number, pore throat ratio, and specific surface area, are identified, extracted, and calculated in the scanning electron microscopy (SEM) images of coal reservoir samples using algorithms and application programs in MATLAB. Constant rate-controlled mercury injection and low-temperature N2 adsorption experiments were carried out to determine the accuracy of the SEM image-based processing analysis results. Characterization results show that the distribution of pore radius in the target coal samples of different organic matters range from 15 nm to 500 μm with porosity of 1.87–8.31% and radius distribution of 12.7 nm to ~100 μm. A noise-reduction system was constructed to eliminate the optical noise of non-porous features and repair the space affected by binarization noise. It is suggested that the characterization processing in this study is suitable for coal or other organic-rich porous materials with porosity >2% and pore radius >15 nm.

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Quantitative Characterization of Pore Structure Parameters in Coal Based on Image Processing and SEM Technology

Jia

Huang

2023

Energies

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Optical Properties Analysis of Scattering Media Based on GI-OCT Imaging

2023

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An optical coherence tomography (OCT) system based on the ghost imaging (GI) technique is developed for correctly imaging in scattering media. Usually, the scattering in the media leads to a decrease in the signal-to-noise ratio of the reconstructed image. This problem can be solved by using ghost imaging-OCT(GI-OCT), but the number of patterns required for GI reconstruction depends on the concentration of the scattering media. Therefore, studying the relationship between the intensity distribution in reconstructed images and the optical properties of scattering media is essential. In this study, image reconstruction is carried out in scattering media with a concentration of 0.0% to 1.4%, diluted from processed milk. Using the structural similarity index method (SSIM) to analyze the reconstruction condition, it is found that the target image can be reconstructed correctly when the SSIM value is more than 0.7. By analyzing the intensity distribution of the reconstructed image, the results show that the extinction coefficient of the scattering media is negatively correlated with the contrast of the reconstructed image and positively correlated with the scattering intensity. Their correlation coefficients are −0.94 and 0.99, respectively.

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Surface Depth-Mapping of Material via the Transport-of-Intensity Equation

Cited by 2 publications

References 38 publications

Quantitative Characterization of Pore Structure Parameters in Coal Based on Image Processing and SEM Technology

Quantitative Characterization of Pore Structure Parameters in Coal Based on Image Processing and SEM Technology

Optical Properties Analysis of Scattering Media Based on GI-OCT Imaging

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