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Stavka #:
148198724
Texts in Computer Science Digital Image Processing: An Algorithmic Introduction, (Hardcover)
92% of respondents would recommend this to a friend
Stavka #:
148198724
€ 93
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This comprehensive and example-rich textbook serves as the ideal introduction to digital image processing for advanced undergraduate and graduate students.
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Detalji o proizvodu
- This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated 3rd edition of the definitive textbook on Digital Image Processing has been completely revised and expanded with new content, improved illustrations and teaching material.Topics and features: Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER).Includes exercises for most chapters and provides additional supplementarymaterials and software implementations at an associated website.Uses ImageJ for all examples, a widely used open source imaging environment thatcan run on allmajor platforms.Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages.Presents suggested outlines for a one- or two-semester course in the preface.Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | July, 2022 |
| Pages | 945 |
| Reading level | Grade 1, Grade 10, Grade 11, Grade 12, Grade 2, Grade 3, Grade 4, Grade 5, Grade 6, Grade 7, Grade 8, Grade 9, Kindergarten, Preschool |
| Subgenre | Software Development & Engineering |
| Series title | Texts in Computer Science |
| Number in series | 3 |
| Edition | 3rd third 2022 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | College |
| Is collectible | N |
| Binding type | Case Binding |
| Number of discs | 1 |
| Retail packaging | Single Piece |
| Assembled product height | 10 in |
| Assembled product weight | 5.19 lb (2.35 kg) |
| Bisac subject heading | Computers |
OPIS PROIZVODA
Texts in Computer Science Digital Image Processing: An Algorithmic Introduction, (Hardcover)
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Wilhelm Burger Ages 9-12 Kids' Books Editorial Review
Texts in Computer Science Digital Image Processing: An Algorithmic Introduction is a comprehensive hardcover book published in July 2022, tailored for those delving into the world of digital image processing. This third edition spans 945 pages, providing valuable insights into software development and engineering from an educational perspective. Targeted primarily towards college-level readers, it covers a range of reading levels, making it accessible for various learners. The book is published by Springer International Publishing, ensuring a solid academic reputation. Overall, it's a well-structured resource for anyone interested in mastering this crucial aspect of computing.
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Pros
- Comprehensive coverage of digital image processing
- Suitable for various educational levels
- High-quality hardcover format
- Published by a reputable publisher
- In-depth insights into software engineering
Protiv
- Weight may be cumbersome for some readers
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Značajke i prednosti
- Modern, self-contained textbook on Digital Image Processing.
- Completely revised 3rd edition with new content and improved illustrations.
- Includes exercises and supplementary materials available online.
- Uses ImageJ for practical examples on all major platforms.
- Describes solutions in mathematical form, pseudocode algorithms, and complete Java programs.
- Ideal for advanced students, researchers, and professionals for self-study.
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