Introduction to Computer Vision
Chapter 1: Getting Started with Computer Vision
How Computers Interpret Images
Common Tasks in Computer Vision
Components of a CV System
Setting Up Your Development Environment
Hands-on: Loading and Displaying an Image
Chapter 2: Digital Image Fundamentals
Pixels: The Building Blocks of Images
Digital Image Representation
Introduction to Color Spaces
Common Image File Formats
Understanding Image Resolution
Reading and Writing Image Files
Practice: Exploring Image Properties
Chapter 3: Basic Image Processing Techniques
Point Operations: Brightness Adjustment
Point Operations: Contrast Adjustment
Image Histograms Explained
Histogram Equalization for Contrast Enhancement
Geometric Transformations: Scaling
Geometric Transformations: Rotation and Translation
Introduction to Image Filtering
Hands-on: Applying Basic Image Transformations
Chapter 4: Introduction to Feature Detection
What Are Features in an Image?
The Sobel Operator for Edge Detection
Corner Detection Concepts
The Harris Corner Detector Idea
Introduction to Feature Descriptors
Hands-on: Detecting Edges in Images
Chapter 5: Introduction to Object Recognition
The Concept of Object Recognition
Template Matching Explained
How Template Matching Works
Limitations of Template Matching
Challenges in Object Recognition
Overview of Machine Learning Approaches
Practice: Simple Template Matching