Digital Image Processing Using Python | Manish Kashyap | New Edition | BPB Publications (English Medium)

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Digital Image Processing Using Python | Manish Kashyap | New Edition | BPB Publications (English Medium)


Digital Image Processing Using Python is a comprehensive guide that covers the fundamental concepts and techniques of digital image processing using the Python programming language. Authored by Manish Kashyap, this new edition from BPB Publications is designed to provide a hands-on approach to learning digital image processing with practical examples and exercises. The book begins by introducing the basics of digital image processing, including topics such as image representation, pixel operations, and color models. It then delves into more advanced techniques such as image enhancement, filtering, segmentation, and feature extraction. Throughout the book, readers will learn how to implement these techniques using Python libraries such as NumPy, OpenCV, and scikit-image. One of the key features of Digital Image Processing Using Python is its focus on practical applications. The book includes numerous real-world examples and projects that demonstrate how digital image processing can be used in various fields such as medical imaging, remote sensing, and computer vision. Readers will also learn how to apply machine learning algorithms to analyze and classify images. In addition to the theoretical concepts and practical examples, the book also provides step-by-step instructions for implementing each technique in Python. This makes it suitable for both beginners who are new to digital image processing and experienced programmers looking to expand their skills. Whether you are a student studying computer science or a professional working in the field of image processing, Digital Image Processing Using Python is an invaluable resource that will help you master the fundamentals of digital image processing with Python.

Publisher ‏ : ‎ BPB Publications, Publication date ‏ : ‎ 28 January 2025, Language ‏ : ‎ English, Print length ‏ : ‎ 420 pages, ISBN-10 ‏ : ‎ 9365898919, ISBN-13 ‏ : ‎ 978-9365898910, Item Weight ‏ : ‎ 670 g, Dimensions ‏ : ‎ 19.05 x 2.41 x 23.5 cm, Country of Origin ‏ : ‎ India

Digital Image Processing Using Python by Manish Kashyap is a comprehensive guide that introduces readers to the fundamental concepts and practical applications of digital image processing. This book is designed for students, developers, and professionals who want to learn how to process and analyze images using Python.

The book begins with the basics of image representation, including pixels, image formats, and pixel neighborhoods. It provides a strong foundation for understanding how digital images are structured and processed. Alongside theoretical concepts, the book introduces Python programming and essential libraries used for image manipulation, making it accessible for beginners and intermediate learners.

A key focus of the book is on various image processing techniques. It covers spatial domain filtering and frequency domain analysis, enabling readers to understand how images can be enhanced and transformed. The book also explains non-linear processing methods and noise reduction techniques, which are crucial for improving image quality.

Advanced topics such as wavelet transforms, binary morphology, and multi-resolution analysis are explored in detail. These concepts are widely used in real-world applications like medical imaging, computer vision, and pattern recognition. The book also includes phase-based processing and morphological operations, helping readers gain a deeper understanding of image transformations.

Practical examples and exercises are provided throughout the book to reinforce learning and help readers apply their knowledge to real-world problems. This hands-on approach ensures that readers can build their skills effectively and gain confidence in working with image processing tools.

With 420 pages of in-depth content, this book is ideal for students, data scientists, and developers interested in image processing and computer vision. It serves as a valuable resource for anyone looking to build expertise in processing and analyzing digital images using Python.

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Product Details

SKU / BOOK Code:	DIP-PY-MK-2025-PB
Publisher:	BPB Publications
Author:	Manish Kashyap
Binding Type:	Paperback
No. of Pages:	420
ISBN-10:	9365898919
ISBN-13:	978-9365898910
Edition:	NeW
Language:	English Medium
Publish Year:	2025-01
Weight (g):	670
Product Condition:	New
Reading Age:	Above 18 Years
Country of Origin:	India
Genre:	Computers & Internet
Manufacturer:	BPB Publications
Importer:	BPB Publications
Packer:	Fullfilled by Supplier

Product Description

Digital Image Processing Using Python | Manish Kashyap | New Edition | BPB Publications (English Medium)


Digital Image Processing Using Python is a comprehensive guide that covers the fundamental concepts and techniques of digital image processing using the Python programming language. Authored by Manish Kashyap, this new edition from BPB Publications is designed to provide a hands-on approach to learning digital image processing with practical examples and exercises. The book begins by introducing the basics of digital image processing, including topics such as image representation, pixel operations, and color models. It then delves into more advanced techniques such as image enhancement, filtering, segmentation, and feature extraction. Throughout the book, readers will learn how to implement these techniques using Python libraries such as NumPy, OpenCV, and scikit-image. One of the key features of Digital Image Processing Using Python is its focus on practical applications. The book includes numerous real-world examples and projects that demonstrate how digital image processing can be used in various fields such as medical imaging, remote sensing, and computer vision. Readers will also learn how to apply machine learning algorithms to analyze and classify images. In addition to the theoretical concepts and practical examples, the book also provides step-by-step instructions for implementing each technique in Python. This makes it suitable for both beginners who are new to digital image processing and experienced programmers looking to expand their skills. Whether you are a student studying computer science or a professional working in the field of image processing, Digital Image Processing Using Python is an invaluable resource that will help you master the fundamentals of digital image processing with Python.

Publisher ‏ : ‎ BPB Publications, Publication date ‏ : ‎ 28 January 2025, Language ‏ : ‎ English, Print length ‏ : ‎ 420 pages, ISBN-10 ‏ : ‎ 9365898919, ISBN-13 ‏ : ‎ 978-9365898910, Item Weight ‏ : ‎ 670 g, Dimensions ‏ : ‎ 19.05 x 2.41 x 23.5 cm, Country of Origin ‏ : ‎ India

Digital Image Processing Using Python by Manish Kashyap is a comprehensive guide that introduces readers to the fundamental concepts and practical applications of digital image processing. This book is designed for students, developers, and professionals who want to learn how to process and analyze images using Python.

The book begins with the basics of image representation, including pixels, image formats, and pixel neighborhoods. It provides a strong foundation for understanding how digital images are structured and processed. Alongside theoretical concepts, the book introduces Python programming and essential libraries used for image manipulation, making it accessible for beginners and intermediate learners.

A key focus of the book is on various image processing techniques. It covers spatial domain filtering and frequency domain analysis, enabling readers to understand how images can be enhanced and transformed. The book also explains non-linear processing methods and noise reduction techniques, which are crucial for improving image quality.

Advanced topics such as wavelet transforms, binary morphology, and multi-resolution analysis are explored in detail. These concepts are widely used in real-world applications like medical imaging, computer vision, and pattern recognition. The book also includes phase-based processing and morphological operations, helping readers gain a deeper understanding of image transformations.

Practical examples and exercises are provided throughout the book to reinforce learning and help readers apply their knowledge to real-world problems. This hands-on approach ensures that readers can build their skills effectively and gain confidence in working with image processing tools.

With 420 pages of in-depth content, this book is ideal for students, data scientists, and developers interested in image processing and computer vision. It serves as a valuable resource for anyone looking to build expertise in processing and analyzing digital images using Python.

Search Keywords - Digital Image Processing Using Python, Manish Kashyap Digital Image Processing Book, New Edition Digital Image Processing Using Python, BPB Publications Digital Image Processing Book, Best Books on Digital Image Processing, Learn Digital Image Processing with Python, Practical Examples of Digital Image Processing in Python, Top Python Libraries for Image Processing, How to Implement Image Enhancement Techniques in Python, Step-by-Step Guide to Digital Image Processing with Python, Real-World Applications of Digital Image Processing, Machine Learning Algorithms for Image Classification, Beginner's Guide to Digital Image Processing with Python, Advanced Techniques in Digital Image Processing Using Python, Hands-On Approach to Learning Digital Image Processing, Computer Vision with Python Programming Language, Remote Sensing Applications of Digital Image Processing, Medical Imaging Techniques Using Python, NumPy and OpenCV for Digital Image Processing in Python, Image Segmentation and Feature Extraction in Python 1. Digital image processing Python book, 2. Manish Kashyap digital image processing book, 3. Digital image processing Python tutorial, 4. Best books on digital image processing, 5. Python programming for image processing, 6. BPB Publications new edition books, 7. Digital image processing projects in Python, 8. Image processing using Python and OpenCV, 9. Top books for learning digital image processing, 10. Python libraries for image processing

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