Textbook in PDF format

Introduction to Image Processing and Computer Vision
Overview of Image Processing
The Role of Computer Vision
Applications in Various Fields
Introduction to OpenCV and Python
Setting Up Your Environment
Installing Python and OpenCV
Configuring IDEs and Libraries
Understanding OpenCV Basics
Image Basics and Fundamentals
Understanding Pixels and Color Spaces
Image Formats and File Types
Image Acquisition Techniques
Image Processing Operations
The Importance of Preprocessing
Image Filtering and Enhancement
Understanding Image Filtering Techniques
Image Enhancement Techniques
Implementing Filters and Enhancements with OpenCV
Geometric Transformations
Introduction to Geometric Transformations
Types of Geometric Transformations
Applications of Geometric Transformations
Implementing Geometric Transformations with OpenCV
Image Segmentation Techniques
Introduction to Image Segmentation
Thresholding Techniques
Clustering Techniques
Edge-Based Segmentation
Region-Based Segmentation
Deep Learning Approaches
Applications of Image Segmentation
Implementing Image Segmentation with OpenCV
Feature Detection and Description
Introduction to Feature Detection and Description
Importance of Feature Detection
Common Feature Detection Algorithms
Feature Description
Matching Features
Applications of Feature Detection and Description
Implementing Feature Detection and Description with OpenCV
Object Detection and Recognition
Introduction to Object Detection and Recognition
Key Concepts in Object Detection
Traditional Object Detection Techniques
Deep Learning for Object Detection
Evaluation Metrics for Object Detection
Applications of Object Detection and Recognition
Implementing Object Detection with OpenCV and Deep Learning
Image Segmentation Techniques
Introduction to Image Segmentation
Key Concepts in Image Segmentation
Traditional Image Segmentation Techniques
Deep Learning-Based Image Segmentation
Evaluation Metrics for Image Segmentation
Applications of Image Segmentation
Implementing Image Segmentation with OpenCV and Deep Learning
Feature Extraction and Representation
Introduction to Feature Extraction
Importance of Feature Extraction
Types of Features in Image Processing
Feature Extraction Techniques
Dimensionality Reduction Techniques
Applications of Feature Extraction
Image Classification Techniques
Introduction to Image Classification
Traditional Image Classification Methods
Deep Learning for Image Classification
Image Classification Applications
Model Optimization Techniques
Challenges in Image Classification
Object Detection Techniques
Introduction to Object Detection
Traditional Object Detection Methods
Deep Learning Approaches to Object Detection
Object Detection Frameworks
Applications of Object Detection
Challenges in Object Detection
Future Trends in Object Detection
Image Segmentation Techniques
Introduction to Image Segmentation
Traditional Image Segmentation Techniques
Deep Learning Approaches to Image Segmentation
Applications of Image Segmentation
Challenges in Image Segmentation
Future Trends in Image Segmentation
Image Recognition and Classification
Introduction to Image Recognition and Classification
Traditional Image Recognition and Classification Techniques
Deep Learning Approaches to Image Recognition and Classification
Applications of Image Recognition and Classification
Challenges in Image Recognition and Classification
Future Trends in Image Recognition and Classification
Object Detection Techniques in Computer Vision
Introduction to Object Detection
Traditional Object Detection Techniques
Deep Learning Approaches to Object Detection
Applications of Object Detection
Challenges in Object Detection
Future Trends in Object Detection
Conclusion
Image Segmentation Techniques in Computer Vision
Introduction to Image Segmentation
Traditional Image Segmentation Techniques
Deep Learning Approaches to Image Segmentation
Applications of Image Segmentation
Challenges in Image Segmentation
Future Trends in Image Segmentation
Future Trends in Image Processing and Computer Vision
Introduction
Advances in Deep Learning Techniques
Real-Time Processing and Edge Computing
Multi-Modal Learning
Explainability and Interpretability
Advancements in Image Processing Applications
The Role of Open Source and Collaborative Development