AICA Machine Learning Breakout Room 8th of November 2025

Описание: In this power-packed session, Fawaz Aro broke down the fundamentals of image processing with Scikit-image, setting the stage with a clear explanation of how images function as pixel arrays carrying color and intensity data. The conversation opened up a broader view of real-world applications—from medical imaging to AI systems and automotive safety—showing just how impactful image processing is across industries.

Fawaz walked participants through the core building blocks:

How images are represented in memory

Color models and RGB-to-grayscale conversion

Using NumPy ND arrays to extract and manipulate color components

Leveraging histograms to understand color intensity and drive segmentation decisions

The session also spotlighted practical enhancement techniques, including:

Sobel filtering for edge detection

Gaussian blur for noise reduction

Histogram equalization and CLAHE for elevated contrast

Transformations like rescaling and resizing to prep images for deeper analysis

If you're exploring computer vision or gearing up to integrate image processing into AI workflows, this walkthrough is a clutch resource for leveling up fast.


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