Digital Image Processing: An Algorithmic Introduction using Java,Used
Digital Image Processing: An Algorithmic Introduction using Java,Used
Digital Image Processing: An Algorithmic Introduction using Java,Used

Digital Image Processing: An Algorithmic Introduction using Java,Used

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SKU: SONG1846283795
Brand: Springer
Condition: Used
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Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: How many pages are in this book? A: This book has five hundred eighty-six pages. It's a comprehensive resource for understanding digital image processing.
  • Q: What is the binding type of this book? A: This book is hardcover. The hardcover format provides durability for frequent use.
  • Q: What are the dimensions of this book? A: The dimensions are seven point five two inches in length, one point two six inches in width, and ten point two five inches in height. This size makes it portable yet substantial for study.
  • Q: What level of students is this book intended for? A: This book is designed for undergraduate students. It serves as an introduction to digital image processing methods.
  • Q: What programming language does the book focus on? A: The book focuses on Java as the programming language. It provides algorithms and examples using Java for image processing.
  • Q: Can this book help with practical exercises? A: Yes, the book includes various practical examples and exercises. These supplements enhance the theoretical knowledge presented.
  • Q: What resources are available to support the book? A: A comprehensive website supports the book. It includes full source code for examples, a question and answer forum, and slides for instructors.
  • Q: Is this textbook suitable for beginners? A: Yes, this textbook is suitable for beginners. It covers fundamental concepts of digital image processing.
  • Q: What kind of examples are included in the book? A: The book includes practical examples related to digital image processing. These examples are designed to reinforce learning and application of concepts.
  • Q: Who is the author of this book? A: The author of this book is Wilhelm Burger. He is recognized for his contributions to the field of digital image processing.
  • Q: Is this book in good condition? A: Yes, the book is listed as used but in good condition. It has been well-maintained for continued use.
  • Q: What category does this book fall under? A: This book falls under the category of Introductory and Beginning. It is tailored for those new to digital image processing.
  • Q: Is there a specific software mentioned in the book? A: Yes, the book uses the image processing environment ImageJ. This software is freely available and distributed by the National Institute of Health.
  • Q: Does the book provide instructor resources? A: Yes, the book provides slides for instructors. These resources facilitate teaching and presentations.
  • Q: Is this book relevant for computer science students? A: Yes, this book is highly relevant for computer science students. It serves as a definitive textbook for studying image processing.
  • Q: Are there any additional support materials offered? A: Yes, additional support materials include a question and answer forum. This forum allows readers to seek help and discuss concepts.

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