Wow! eBook
Digital Image Processing Using Python:A comprehensive guide to the fundamentals of digital image processing (English Edition)
by: Dr. Manish Kashyap (Author)
Publication Date: 2025-01-28
Language: English
Print Length: 420 pages
ISBN-10: 9365898919
ISBN-13: 9789365898910
Book Description
Description“Digital Image Processing Using Python" offers a comprehensive guide to mastering image processing techniques through practical Python implementations. It equips you with the essential tools and knowledge to manipulate, analyze, and transform digital images using the powerful programming language, Python.This book offers a comprehensive exploration of digital image processing, combining theoretical foundations with practical applications. Starting with fundamental concepts like image representation and pixel neighborhoods, the book teaches Python programming and essential libraries for image manipulation. It covers a wide range of techniques, including spatial and frequency domain filtering, non-linear processing, noise reduction, wavelet transforms, and binary morphology. Advanced topics such as phase-based processing, multi-resolution analysis, and morphological operations are also explored in depth. The book provides practical examples and exercises to reinforce learning and equip readers with the skills needed to effectively process and analyze digital images for various applications.By integrating Python code with visual examples, you will gain practical experience and insights that are directly applicable to your work. This approach ensures that you not only learn theoretical concepts but also understand how to implement them effectively in real-world situations.Key Features● Builds a strong foundation in digital image processing, covering essential topics from basics to advanced techniques.● Includes practical exercises to master Python programming and essential libraries like OpenCV and NumPy for image manipulation tasks.● Applies concepts to real-world scenarios like image restoration, object detection, and medical imaging.What you will learn● Implement image processing techniques using Python libraries and tools.● Understand core concepts like filtering, segmentation, and enhancement.● Apply practical Python code to real-world image processing tasks.● Develop skills to analyze and manipulate digital images effectively.● Create and visualize image processing algorithms with hands-on examples.Who this book is forThis book is perfect for undergraduate and master's level students seeking to grasp image processing concepts or professionals working in fields like computer vision, artificial intelligence, or medical imaging.Table of Contents1. Introduction to Digital Images2. Python Fundamentals and Related Libraries3. Playing with Digital Images4. Spatial Domain Processing5. Frequency Domain Image Processing6. Non-linear Image Processing and the Issue of Phase7. Noise and Image Restoration8. Wavelet Transform and Multi-resolution Analysis9. Binary Morphology
Editorial Reviews
Description“Digital Image Processing Using Python" offers a comprehensive guide to mastering image processing techniques through practical Python implementations. It equips you with the essential tools and knowledge to manipulate, analyze, and transform digital images using the powerful programming language, Python.This book offers a comprehensive exploration of digital image processing, combining theoretical foundations with practical applications. Starting with fundamental concepts like image representation and pixel neighborhoods, the book teaches Python programming and essential libraries for image manipulation. It covers a wide range of techniques, including spatial and frequency domain filtering, non-linear processing, noise reduction, wavelet transforms, and binary morphology. Advanced topics such as phase-based processing, multi-resolution analysis, and morphological operations are also explored in depth. The book provides practical examples and exercises to reinforce learning and equip readers with the skills needed to effectively process and analyze digital images for various applications.By integrating Python code with visual examples, you will gain practical experience and insights that are directly applicable to your work. This approach ensures that you not only learn theoretical concepts but also understand how to implement them effectively in real-world situations.Key Features● Builds a strong foundation in digital image processing, covering essential topics from basics to advanced techniques.● Includes practical exercises to master Python programming and essential libraries like OpenCV and NumPy for image manipulation tasks.● Applies concepts to real-world scenarios like image restoration, object detection, and medical imaging.What you will learn● Implement image processing techniques using Python libraries and tools.● Understand core concepts like filtering, segmentation, and enhancement.● Apply practical Python code to real-world image processing tasks.● Develop skills to analyze and manipulate digital images effectively.● Create and visualize image processing algorithms with hands-on examples.Who this book is forThis book is perfect for undergraduate and master's level students seeking to grasp image processing concepts or professionals working in fields like computer vision, artificial intelligence, or medical imaging.Table of Contents1. Introduction to Digital Images2. Python Fundamentals and Related Libraries3. Playing with Digital Images4. Spatial Domain Processing5. Frequency Domain Image Processing6. Non-linear Image Processing and the Issue of Phase7. Noise and Image Restoration8. Wavelet Transform and Multi-resolution Analysis9. Binary Morphology
