Digital Image Processing using Python

Book Description:

Whether you're a student, researcher, or software engineer, “Digital Image Processing Using Python” provides a comprehensive and practical introduction to the powerful world of image analysis using Python.

From basic image handling to advanced real-time applications, this book is designed to equip you with both the theoretical knowledge and hands-on coding experience needed to master digital image processing.

With clear explanations, step-by-step examples, and real-world projects, you’ll learn how to work with popular Python libraries such as OpenCV, Pillow, NumPy, Matplotlib, and scikit-image.

📗 What You’ll Learn:

• Image fundamentals and color models
• Image enhancement techniques (contrast, brightness, histograms)
• Filtering, edge detection, and morphological operations
• Image segmentation and contour analysis
• Object detection and motion tracking
• Real-time video processing
• Face detection and deep learning integration

🚀 Key Features:

• 100+ Practical Code Snippets (with Jupyter support)
• Hands-on Mini Projects & Real-Life Case Studies
• Step-by-step Guidance for Beginners and Professionals
• A Capstone Project for End-to-End Image Processing
• Downloadable Resources & Datasets

📌 Ideal For:

• Computer Science & Engineering Students
• AI/ML and Data Science Enthusiasts
• Developers exploring computer vision
• Researchers and educators

Unlock the power of pixels and algorithms. Start your journey into the visual intelligence world with Digital Image Processing Using Python — the only book you need to turn raw images into meaningful data.