Lecture

Image Processing Basics

In course

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Description

This lecture covers the basics of image processing in Python, focusing on manipulating images, converting them to grayscale, and applying filters like Sobel for edge detection. It also introduces the concept of convolution with kernels to create new images. The instructor demonstrates how to work with pixel values, handle image borders, and implement operations like smoothening and finding seams of least energy. The lecture concludes with a preview of the upcoming algorithm for finding the seam of least energy.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_iccr2ivl

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Ontological neighbourhood

Information engineering

Signal processing: Digital image processing

Artificial intelligence: Computer vision

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