Prof. Byoung-Kwan Cho Profile

Prof. Byoung-Kwan Cho

Professor at Chungnam National Univ

SPIE Involvement:

Conference Chair | Editor | Author

Publications (25)

Proceedings Article | 14 June 2023 Presentation

Deep-learning-based image classification for the inspection of chicken eggs (Conference Presentation)

Tae-Gyun Rho, Se-Heon Jang, Byoung-Kwan Cho

Proceedings Volume PC12545, PC1254504 (2023) https://doi.org/10.1117/12.2665136

KEYWORDS: Inspection, Image classification, Optical inspection, Performance modeling, Industry, Image analysis, Visualization, Visual process modeling, Image quality, Calcium

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Proceedings Article | 13 June 2023 Poster

Rapid detection of food-waste components in organic fertilizer using NIR spectroscopic technique

Geonwoo Kim, Hoonsoo Lee, Byoung-Kwan Cho

Proceedings Volume PC12545, PC1254507 (2023) https://doi.org/10.1117/12.2663750

KEYWORDS: Spectroscopy, Near infrared spectroscopy, Near infrared, Standards development, Sodium, Scattering, Performance modeling, Fourier transforms, FT-NIR spectroscopy

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Proceedings Article | 30 May 2022 Presentation

Deep learning-based image analysis approach for mosquito identification

Sangjoon Lee, Hangi Kim, Byoung-Kwan Cho

Proceedings Volume PC12120, PC1212005 (2022) https://doi.org/10.1117/12.2621176

KEYWORDS: Image analysis, RGB color model, Performance modeling, Optical microscopy, Luminescence

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Proceedings Article | 30 May 2022 Presentation

Phenotyping of field crops using 3D LiDAR point cloud and RGB imaging system

Eun-sung Park, Ajay Kumar, Byoung-Kwan Cho

Proceedings Volume PC12120, PC121200C (2022) https://doi.org/10.1117/12.2621150

KEYWORDS: LIDAR, Clouds, 3D image processing, RGB color model, Imaging systems, Data acquisition, Yield improvement, 3D metrology

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Proceedings Article | 30 May 2022 Presentation

Developments of automated pork carcass grading method using artificial intelligence image analysis

Juntae Kim, Byoung-Kwan Cho

Proceedings Volume PC12120, PC1212007 (2022) https://doi.org/10.1117/12.2621142

KEYWORDS: Image analysis, RGB color model, Cameras, Artificial intelligence, Feature extraction, Standards development, Factory automation

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Proceedings Article | 30 May 2022 Presentation

Nondestructive measurement of fatty acid content in beef using hyperspectral short-wave infrared imager

Ye-Na Kim, Byoung-Kwan Cho

Proceedings Volume PC12120, PC1212009 (2022) https://doi.org/10.1117/12.2621139

KEYWORDS: Hyperspectral imaging, Short wave infrared radiation, Nondestructive evaluation, Infrared radiation, Infrared imaging, Imaging systems, Spectroscopy, Data modeling, Statistical modeling, Spectral models

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Proceedings Article | 22 April 2020 Paper

Setting up a methodology to distinguish between green oranges and leaves using hyperspectral imaging

Irina Torres, María-Teresa Sánchez, Byoung-Kwan Cho, Ana Garrido-Varo, Dolores Pérez-Marín

Proceedings Volume 11421, 114210X (2020) https://doi.org/10.1117/12.2559102

KEYWORDS: Hyperspectral imaging, Defect detection, Reflectivity, Imaging systems, Principal component analysis, Multispectral imaging, Cameras, Absorption, Agriculture, Unmanned aerial vehicles

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Proceedings Article | 14 May 2019 Presentation

Food safety and quality applications of line-scan Raman imaging and spectroscopy techniques (Conference Presentation)

Jianwei Qin, Moon Kim, Kuanglin Chao, Jeehwa Hong, Insuck Baek, Sagar Dhakal, Byoung-Kwan Cho

Proceedings Volume 11016, 1101604 (2019) https://doi.org/10.1117/12.2519083

KEYWORDS: Raman spectroscopy, Food inspection, Inspection, Safety, Laser safety, Laser systems engineering, Imaging systems, Laser scattering, Software development, Control systems

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Proceedings Article | 15 May 2018 Presentation + Paper

Non-targeted and targeted Raman imaging detection of chemical contaminants in food powders

Jianwei Qin, Moon Kim, Kuanglin Chao, Sagar Dhakal, Byoung-Kwan Cho

Proceedings Volume 10665, 106650G (2018) https://doi.org/10.1117/12.2304384

KEYWORDS: Raman spectroscopy, Target detection, Imaging spectroscopy, Potassium, Chemical analysis, Safety, Line scan image sensors, Hyperspectral imaging, Imaging systems, Hyperspectral target detection

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