ADR Awareness Centre

A series of three posts on “Is data fixable? On the need of socially-informed practices in ML research and education”.

In machine learning, we use data to automatically find dependencies in the world, with the goal of predicting future observations.

This lecture overviews  digital images, image processing and image analysis. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel images, e.g., color and multispectral images come next.

This lecture overviews Computational Geometry that has many applications in Computer Graphics, Robotics, Geographic Information Systems, CAD/CAM.

This lecture overviews Mathematical Morphology  that has many applications in digital image processing, analysis and computer vision.

This lecture overviews Shape Description that has many applications in object recognition and image compression. It covers the following topics in detail: Chain Codes. Polygonal Contour Approximations. Fourier Descriptors. Quadtrees.