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Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
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Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab 1st Edition
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What Stands Out
Product Details
- Comprehensive guide to digital image processing
- Covers practical concepts and examples in Matlab
- Written in a clear and approachable manner
- Suitable for beginners and students
- 1st Edition provides up-to-date information
- Ideal for learning essential image processing techniques
| Publisher | Wiley |
| Publication date | January 11, 2011 |
| Edition | 1st |
| Language | English |
| Print length | 358 pages |
| ISBN-10 | 0470844736 |
| ISBN-13 | 978-0470844731 |
| Item Weight | 1.35 pounds (610 grams) |
| Dimensions | 6.62 x 0.85 x 9.62 inches (16.8 x 2.2 x 24.4 cm) |
Who Should Buy?
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Students of Image Processing
Ideal for students seeking a solid foundation in digital image processing concepts and practical applications.
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Matlab Users
Beneficial for those familiar with Matlab who want to apply digital image processing techniques effectively.
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Professionals in Imaging
Great for professionals in fields such as photography, medical imaging, or computer vision looking to enhance their knowledge.
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Beginners in Programming
Not suitable for individuals lacking programming skills, as it assumes familiarity with Matlab.
Product Description
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
Product Buying Guide
If you're looking to delve into digital image processing with a practical approach using examples in Matlab, the Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab 1st Edition is an ideal choice for you. This comprehensive buying guide will walk you through the specifications, key features, usage scenarios, competitor comparisons, user reviews, price analysis, and important buying considerations to help you make an informed decision.
Product Specifications
- Title: Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab 1st Edition
- Format: Paperback
- Author: Krishna Mohan, Rao Yarlagadda, Devi Yarlagadda
- Publisher: Pearson
- Language: English
- Pages: 616
- ISBN-10: 813176527X
- ISBN-13: 978-8131765273
Key Features
- Comprehensive coverage of digital image processing concepts
- Practical examples and applications using Matlab
- Insightful explanations with a practical approach
- Detailed coverage of fundamentals and advanced topics
- Accessible language suitable for beginners and experts alike
Usage Scenarios
- Ideal for students and professionals studying or working in the field of digital image processing
- Great resource for researchers and practitioners seeking a practical understanding of image processing techniques
- Suitable for self-study or as a supplemental textbook for related courses
Usage Scenarios
Competitor A, Competitor B
Some User Review
- The book provides a clear and practical understanding of digital image processing techniques, making it suitable for both beginners and experienced individuals.
- The examples using Matlab are very helpful in reinforcing the theoretical concepts discussed in the book.
- The comprehensive coverage and accessible language make it an excellent resource for students and professionals alike.
Competitors
- The price of the book is competitive compared to similar titles in the market, offering great value for the comprehensive content it provides.
Buying Considerations
- Consider your level of expertise in digital image processing to ensure the book aligns with your learning needs.
- Check for bundle offers or discounts from reputable retailers to make the purchase more cost-effective.
Conclusion
The Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab 1st Edition is a valuable resource for gaining a comprehensive understanding of digital image processing techniques. With its practical approach, insightful examples, and comprehensive coverage, it caters to both beginners and experienced individuals in the field. Considering its competitive pricing and wealth of knowledge it offers, this book is a highly recommended investment for anyone interested in digital image processing.
View LessIf you're looking to delve into digital image processing with a practical approach using examples in Matlab, the Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab 1st Edition is an ideal choice for you. This comprehensive buying guide will walk you through the specifications, key features, usage scenarios, competitor comparisons, user reviews, price analysis, and important buying considerations to help you make an informed decision. Continue Reading
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Telecommunications & Sensors Editorial Review
Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab is a well-structured book that serves as a robust introduction to various image processing techniques. Written in an accessible manner, it effectively explains fundamental concepts without overwhelming readers with excessive detail. Many reviewers commend the practical value of the MATLAB examples included, which significantly enhance the learning experience. The accompanying website provides essential MATLAB custom functions and error reporting features, ensuring that readers can fully leverage the book's content. This thoughtful integration of resources makes it particularly beneficial for both beginners and those seeking to refresh their knowledge in the field.
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Pros
- Accessible writing style for readers
- Includes useful MATLAB examples
- Comprehensive introduction to image processing
- Responsive authors available for clarification
- Enhances understanding of digital image topics
Cons
- Quality of examples may vary for advanced users
Product Price History
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Features & Benefits
- Introductory to intermediate level text on image processing
- Practical approach with well-chosen examples, exercises, and experiments
- Covers topics in science, medicine, and engineering
- Includes a fast-start introduction to enhance accessibility
- Discusses advanced topics and application of automated image classification
- Companion website with additional resources and files
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