Prof. Yishuo Huang Profile

Prof. Yishuo Huang

at Chaoyang Univ of Technology

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Author

Publications (9)

Proceedings Article | 3 January 2025 Paper

Quantitively distinguishing thick and thin clouds

Yishuo Huang, Chia-Chien Hung

Proceedings Volume 13262, 1326204 (2025) https://doi.org/10.1117/12.3038946

KEYWORDS: Clouds, Inhomogeneities, Satellites, Satellite imaging, Earth observing sensors, Image segmentation, Image processing, Windows, Image enhancement, Image fusion

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Proceedings Article | 9 May 2024 Presentation + Paper

Building health monitoring with different thermal infrared cameras

Yishuo Huang, Pin-Hsuan Kuo, Chih-Hung Chiang

Proceedings Volume 12950, 129500K (2024) https://doi.org/10.1117/12.3010249

KEYWORDS: Thermography, Infrared radiation, Infrared imaging, Image segmentation, Infrared cameras, Inhomogeneities, Thermal imaging cameras, Unmanned aerial vehicles, 3D modeling, Image analysis

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Proceedings Article | 18 April 2023 Presentation + Paper

Applying the modified adaptive window sizes into the image segmentation to identify defects from thermal infrared images covered with intensity inhomogeneity

Yishuo Huang, Qian-Ying Yang, Chih-Hung Chiang

Proceedings Volume 12486, 124861P (2023) https://doi.org/10.1117/12.2657617

KEYWORDS: Inhomogeneities, Windows, Thermography, Image segmentation, Infrared radiation, Infrared imaging, Digital imaging, Calibration, Shadows, Defect detection

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Proceedings Article | 18 April 2022 Presentation + Paper

Identifying defects under shadows from a series of thermal images by employing robust principal component analysis and local binary function

Yishuo Huang, Qian-Ying Yang, Keng-Tsang Hsu, Chih-Hung Chiang

Proceedings Volume 12047, 120470Y (2022) https://doi.org/10.1117/12.2613152

KEYWORDS: Principal component analysis, Thermography, Infrared imaging, Image segmentation, Feature extraction, Lithium, Image processing, Image analysis

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Proceedings Article | 22 April 2020 Presentation + Paper

Building cracks identification by employing image segmentation

Yishuo Huang, Qain-Ying Yang, Keng-Tsang Hsu, Chih-Hung Chiang

Proceedings Volume 11381, 113811Y (2020) https://doi.org/10.1117/12.2558335

KEYWORDS: Image segmentation, Thermography, Infrared imaging, Infrared radiation, Acoustics, Image processing, Image analysis, Detection and tracking algorithms, Image processing algorithms and systems, Inspection

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Proceedings Article | 1 April 2019 Paper

Evaluating the shadow or glare effects in thermography for non-destructive testing and evaluation

Yishuo Huang, Chih-Hung Chiang, Keng-Tsang Hsu

Proceedings Volume 10971, 1097113 (2019) https://doi.org/10.1117/12.2514175

KEYWORDS: Thermography, Image segmentation, Infrared imaging, Infrared radiation, Thermal modeling, Nondestructive evaluation, Digital imaging, Image processing, Temperature metrology

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Proceedings Article | 27 March 2018 Presentation + Paper

Combining the 3D model generated from point clouds and thermography to identify the defects presented on the facades of a building

Yishuo Huang, Chih-Hung Chiang, Keng-Tsang Hsu

Proceedings Volume 10599, 105990G (2018) https://doi.org/10.1117/12.2297656

KEYWORDS: 3D modeling, Image segmentation, Thermography, Clouds, Unmanned aerial vehicles, Nondestructive evaluation, Infrared imaging, 3D image processing

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Defects presented on the facades of a building do have profound impacts on extending the life cycle of the building. How to identify the defects is a crucial issue; destructive and non-destructive methods are usually employed to identify the defects presented on a building. Destructive methods always cause the permanent damages for the examined objects; on the other hand, non-destructive testing (NDT) methods have been widely applied to detect those defects presented on exterior layers of a building. However, NDT methods cannot provide efficient and reliable information for identifying the defects because of the huge examination areas. Infrared thermography is often applied to quantitative energy performance measurements for building envelopes. Defects on the exterior layer of buildings may be caused by several factors: ventilation losses, conduction losses, thermal bridging, defective services, moisture condensation, moisture ingress, and structure defects. Analyzing the collected thermal images can be quite difficult when the spatial variations of surface temperature are small. In this paper the authors employ image segmentation to cluster those pixels with similar surface temperatures such that the processed thermal images can be composed of limited groups. The surface temperature distribution in each segmented group is homogenous. In doing so, the regional boundaries of the segmented regions can be identified and extracted. A terrestrial laser scanner (TLS) is widely used to collect the point clouds of a building, and those point clouds are applied to reconstruct the 3D model of the building. A mapping model is constructed such that the segmented thermal images can be projected onto the 2D image of the specified 3D building. In this paper, the administrative building in Chaoyang University campus is used as an example. The experimental results not only provide the defect information but also offer their corresponding spatial locations in the 3D model.

Proceedings Article | 10 June 1996 Paper

Three-dimensional ground truth reconstruction using 2D ISAR imagery

Sharon Wang, Yishuo Huang, Victor Chen

Proceedings Volume 2757, (1996) https://doi.org/10.1117/12.242027

KEYWORDS: 3D modeling, 3D image processing, 3D acquisition, Feature extraction, 3D image reconstruction, Sensors, Wavelets, 3D vision, Visualization, Synthetic aperture radar

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Proceedings Article | 23 August 1995 Paper

Virtual reality using remote sensing

Yishuo Huang, Sharon Wang, Murali Rao, Carl Crane, Bon Dewitt, James Tulenko

Proceedings Volume 2572, (1995) https://doi.org/10.1117/12.216937

KEYWORDS: 3D modeling, 3D image processing, Pattern recognition, Image registration, Virtual reality, Databases, Data modeling, Remote sensing, Buildings, Visualization

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Showing 5 of 9 publications

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