Lecture

Directional Image Analysis: Steerable Filters

In course

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Description

This lecture covers the central-slice theorem, Radon transform, Fourier transform, multinomial expansion, gradient and directional derivatives, structure tensor, and directional pattern matching. It explains the steerability of polynomials, properties of multidimensional polynomials, and the implementation of steerable filters for edge and ridge detection in image processing.

Instructors (4)

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Official source

https://mediaspace.epfl.ch/media/0_jdp11o2i

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Ontological neighbourhood

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Artificial intelligence: Computer vision

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