Image Segmentation Basics and Techniques - Lecture 23

Explore image segmentation techniques in this comprehensive computer vision lecture. Delve into the fundamentals of segmentation, its importance, and various algorithmic approaches. Learn about image binarization, histogram analysis, thresholding techniques, and between-class variance. Examine practical examples and visualizations to reinforce understanding. Discover region-based segmentation methods, including merging algorithms and variance-based thresholding. Gain valuable insights into this crucial aspect of computer vision, essential for tasks such as object detection, image classification, and feature extraction.

Introduction
Agenda
Basics
Why Segmentation
Algorithms
Categories of Algorithms
Image Segmentation Basics
Image Binarization
Histogram
Examples
Threshold
Between Class Variance
Results
Visualization
RegionBased Segmentation
Merging
Algorithm
Thresholding
Variance