Lecture

Image Processing Fundamentals

In course

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Description

This lecture covers the fundamentals of image processing for microscopy, including acquiring images, correcting defects, enhancing images in spatial and frequency domains, and extracting quantitative information through segmentation and thresholding. It also introduces the software practice using ImageJ/Fiji. Reading materials include 'The Image Processing Handbook' and 'Transmission Electron Microscopy'. Topics include image acquisition systems, detectors, color adjustments, noise reduction techniques, and neighborhood averaging. The lecture emphasizes the importance of reproducibility in image processing and the ethical considerations involved.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_jbq71h1b

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Ontological neighbourhood

Information engineering

Signal processing: Digital image processing

Artificial intelligence: Computer vision

Industrial and production engineering

Manufacturing engineering: Electron-beam technology

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