Image Processing Fundamentals

This lecture lays the groundwork by introducing how images are digitally represented. It explains fundamental image manipulation techniques and gives an overview of essential machine learning concepts.

Feb 17, 3:00 – 5:00 PM

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Key Themes

AIBuild with AIMachine LearningTensorFlow

About this event

Image Representation:

  • Pixels, color spaces (RGB, grayscale, HSV, etc.),
  • Image file formats (JPEG, PNG, TIFF)

Basic Image Manipulations:

  • Filtering (smoothing, blurring, sharpening)
  • Edge detection (Canny, Sobel)
  • Morphological operations (erosion, dilation)
  • Histograms and equalization

Introduction to Machine Learning:

  • Supervised vs. unsupervised learning
  • Classification and regression
  • Key concepts: features, labels, training/testing data

Organizer

  • Gregory McGann

    GDG Oxford

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