Lecture

Edge Detection: Basics and Techniques

In course

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Description

This lecture covers the fundamentals of edge detection, including measuring contrast, edge orientation, gradient images, 1D and 2D finite differences, coding techniques, noise reduction, Fourier interpretation, Fourier transform, Gaussian functions, discrete Fourier transform, Gaussian derivatives, Canny edge detector, non-maxima suppression, hysteresis thresholding, and industrial applications of edge detection in navigation and pose estimation.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_rko4gco1

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Ontological neighbourhood

Information engineering

Signal processing: Fourier analysis

Artificial intelligence: Computer vision

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