Image Processing: Practical

In course

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Description

This lecture covers practical aspects of image processing using Fiji software, including downloading, installation, system requirements, data preparation, exploring images, scaling, calibrating, and using color. The quality of the analysis heavily depends on the data quality.

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Instructors (2)

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Official source

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Ontological neighbourhood

Information engineering

Signal processing: Digital image processing

Artificial intelligence: Computer vision

Data science: Topics in data science

Computer engineering

Hardware engineering: Microprocessors

Computer graphics: 2D computer graphics

Systems science and engineering

Systems thinking: Systems engineering

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