Digital Image Processing: An Algorithmic Introduction using Java,New

Digital Image Processing: An Algorithmic Introduction using Java,New

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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.

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We provide a 2-year limited warranty, from the date of purchase for all our products.

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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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Frequently Asked Questions

  • Q: What is the main focus of 'Digital Image Processing: An Algorithmic Introduction Using Java'? A: The book primarily focuses on teaching digital image processing methods, covering both formal mathematical concepts and practical applications through examples and exercises.
  • Q: Who is the target audience for this textbook? A: This textbook is aimed at undergraduate students studying computer science, particularly those new to digital image processing.
  • Q: What programming environment does the book utilize? A: The book uses ImageJ, a free image processing environment provided by the National Institute of Health, to illustrate concepts and examples.
  • Q: How many pages does the textbook contain? A: The textbook contains a total of 586 pages.
  • Q: What edition of the book is this? A: This is the 1st edition of the textbook, published in April 2011.
  • Q: What condition is the book in? A: The book is listed as 'New', ensuring that it is in pristine condition for readers.
  • Q: Are there additional resources available for this book? A: Yes, there is a comprehensive website that supports the book, providing full source code for examples, a question and answer forum, and instructor slides.
  • Q: Is this book suitable for self-study? A: Yes, the book includes various practical examples and exercises, making it suitable for self-study as well as classroom use.
  • Q: What topics are covered in the exercises of the book? A: The exercises cover a range of digital image processing techniques, reinforcing the theoretical concepts presented in the text.
  • Q: Can this book be used for advanced studies in digital image processing? A: While it is designed for beginners, the fundamental concepts and techniques discussed may also benefit advanced studies in digital image processing.