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Handbook Of Computer Vision Algorithms In Image Algebra,Used
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Handbook Of Computer Vision Algorithms In Image Algebra Provides Engineers, Scientists, And Students With An Introduction To Image Algebra And Presents Detailed Descriptions Of Over 80 Fundamental Computer Vision Techniques. These Techniques Represent A Core Of Knowledge That All Computer Vision Practitioners Should Have. The Book Also Introduces The Portable Iac++ Library, Which Supports Image Algebra Programming In The C++ Language.Image Algebra Provides A Concise, Highlevel Mathematical Language With Which One Can Specify Computer Vision And Image Processing Transformations And Algorithms. It Is Clear, Lucid, And Easy To Learn And Use. Because Of Their High Level Of Abstraction, Image Algebra Specifications Can Be Directly Implemented On A Variety Of Computer Architectures. Programs Using The Iac++ Library Can Be Executed Efficiently On Both Sequential And Parallel Computer Architectures Without Modification. To Aid Practitioners In Formulating Algorithms In Succinct And Precise Mathematical Language, Computer Vision Methods Are Presented With Clear Mathematical Specifications. To Assist Algorithm Implementors In Developing Robust Programs, The Practical Impact Of Algorithm Variants And Implementation Choices Is Discussed.
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- Q: What is the size of this book? A: This book measures seven point two inches in length, zero point nine four inches in width, and ten point two eight inches in height. It’s a compact hardcover ideal for easy handling.
- Q: How many pages does the book have? A: The book contains three hundred eighty four pages. This length allows for an in-depth exploration of computer vision algorithms.
- Q: What type of binding does this book have? A: This book features a hardcover binding. This format provides durability and a professional appearance, suitable for both study and reference.
- Q: Who is the author of this book? A: The author is Gerhard X. Ritter. He brings expertise in computer vision and image algebra to the content of this handbook.
- Q: What is the main focus of this book? A: The main focus is on image algebra and its application in computer vision techniques. It serves as a comprehensive guide for engineers and students.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It introduces fundamental concepts and techniques in an accessible manner.
- Q: How can I use the iac++ library mentioned in the book? A: You can use the iac++ library to implement image algebra programming in the C++ language. The book provides clear examples and specifications for various algorithms.
- Q: Is this book appropriate for advanced practitioners? A: Yes, advanced practitioners will find valuable insights in this book. It discusses algorithm variants and implementation choices in detail.
- Q: How do I maintain the condition of this book? A: To maintain the book’s condition, store it in a dry place away from direct sunlight. Avoid bending the spine and keep it on a stable surface.
- Q: Can I find practical examples in the book? A: Yes, the book includes practical examples of computer vision techniques. These examples are designed to aid understanding and application of the concepts.
- Q: What if I receive a damaged book? A: If you receive a damaged book, contact the seller for a return or exchange. Most sellers provide a clear return policy for such issues.
- Q: Is this book available for digital download? A: The availability of a digital download version depends on the publisher. Check with the seller or publisher for e-book options.
- Q: What kind of algorithms are covered in this book? A: The book covers over eighty fundamental computer vision algorithms. These include various transformations and techniques that are essential for practitioners.
- Q: Are there any prerequisites for understanding this book? A: While no specific prerequisites are required, a basic understanding of computer science and programming can be beneficial. The book gradually builds complexity.
- Q: Does this book include exercises or problems? A: Yes, the book includes exercises that help reinforce concepts. These exercises are designed to enhance your understanding of computer vision algorithms.
- Q: Is the book suitable for academic courses? A: Yes, the book is suitable for academic courses in computer vision and image processing. Its structured approach makes it an excellent textbook.