Quantitative Imaging for Civil Engineers

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Related lectures (32)

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Drone Imaging Analysis

Explores drone imaging analysis using Meshroom software for civil engineering applications.

Image Processing: Practical

Covers practical image processing using Fiji software, emphasizing data quality importance.

Image Processing in Fiji

Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.

Detectors: Cameras and Performance

Explores imaging cameras' characteristics, spatial resolution, noise sources, and dynamic range for optimal performance in microscopy applications.

RIN, Shot Noise, Circuit Noise - Examples

Explores laser operation basics, shot noise, and photodetectors' noise characteristics, emphasizing the importance of signal-to-noise ratio in signal detection.

Electrical Metrology: Noise Reduction Techniques

Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.

Photon Detection: Efficiency and Coating

Explores high energy photon detection principles, efficiency, CCD detectors, Anti-Reflective coatings, and Signal to Noise ratio.

LabVIEW Programming Essentials

Explores LabVIEW essentials, troubleshooting common issues, managing cache, and data visualization techniques.

Image Processing in Python: Manipulation and Convolution Techniques

Introduces image processing techniques in Python, focusing on manipulation and convolution operations using NumPy and Pillow.

CCD Cameras: Signal-to-Noise Analysis

Covers the signal-to-noise ratio in CCD cameras and techniques to optimize image capture quality.