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Digital Image Processing using MATLAB: ZERO to HERO Practical Approach with Source Code (Handbook of Digital Image Processing using MATLAB)
77% of respondents would recommend this to a friend
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Digital image processing is being used to solve a variety of issues in defense, astronomy, biology, medical, and industrial applications.
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What Stands Out
Detalles de producto
- Comprehensive guide to digital image processing using MATLAB
- Covers practical applications and source code implementation
- Step-by-step approach for beginners to advanced users
- Includes a handbook for reference and further learning
- Emphasizes hands-on learning and real-world examples
- Offers a practical and comprehensive understanding of image processing
| Publisher | Independently published |
| Publication date | December 17, 2017 |
| Language | English |
| Print length | 230 pages |
| ISBN-10 | 1973565153 |
| ISBN-13 | 978-1973565154 |
| Item Weight | 14.4 ounces (408.24 grams) |
| Dimensions | 6 x 0.58 x 9 inches (15.2 x 1.5 x 22.9 cm) |
Who Should Buy?
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Beginners in Imaging
Ideal for individuals starting out in digital image processing and looking for practical examples and guidance.
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Students and Educators
Useful for students studying image processing, providing a comprehensive resource for coursework and practical applications.
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Self-Learners
Perfect for self-learners seeking hands-on experience with MATLAB through practical exercises and source code.
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Advanced Users
Not suitable for experienced practitioners, as it covers fundamental concepts without diving deep into advanced techniques.
DESCRIPCIÓN DEL PRODUCTO
About This Item
Are you interested in mastering the art of digital image processing using MATLAB? Look no further! We introduce to you "Digital Image Processing using MATLAB: ZERO to HERO Practical Approach with Source Code." This comprehensive handbook, written by experts in the field, is designed to take you from zero to hero in the practical application of digital image processing techniques using MATLAB. Whether you are a beginner or an advanced user, this book will equip you with the knowledge and skills to efficiently process, enhance, analyze, reconstruct, restore, compress, recognize and visualize images. With MATLAB as your tool of choice, you'll have access to powerful algorithms and functions specifically designed for image processing. This book not only teaches you how to use these tools effectively but also provides you with the source code to implement these techniques in your own projects. Inside this handbook, you'll find a wealth of information on various topics such as image enhancement, segmentation, analysis, reconstruction, restoration, compression, recognition, feature extraction, filtering, denoising, classification, registration, watermarking, fusion, quality assessment, coding, retrieval, visualization, and understanding.
Whether you're working on computer vision, medical imaging, remote sensing, or any other image-related field, this book has got you covered. Furthermore, this handbook goes beyond image processing and delves into digital signal processing, machine learning, neural networks, deep learning, pattern recognition, data analysis, data visualization, computer graphics, and more. The authors have carefully integrated these topics to provide you with a holistic understanding of digital image processing. So, if you're ready to embark on a journey from zero to hero in digital image processing using MATLAB, grab your copy of "Digital Image Processing using MATLAB: ZERO to HERO Practical Approach with Source Code" today. It's time to unlock the full potential of your images and transform your projects with precision and efficiency.
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Computers & Technology Editorial Review
Digital Image Processing using MATLAB: ZERO to HERO Practical Approach with Source Code is a handbook that aims to provide a practical introduction to digital image processing through MATLAB. The book, published independently in December 2017, spans 230 pages and serves as a reference guide, particularly for those interested in photographic analysis and color gradients. While some reviews praise its step-by-step approach, others criticize it for being simplistic, lacking depth, and having numerous errors. However, students may find it effectively outlines built-in MATLAB functions, making it a handy resource for beginners and those looking to refresh their skills.
Customer Reviews & Ratings
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5 estrella
66%
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4 estrella
7%
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3 estrella
3%
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2 estrella
7%
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1 estrella
17%
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ventajas
- Step-by-step explanations for digital image processing
- Good reference for color gradients
- Effective outline for built-in MATLAB functions
- Great for a quick overview of topics
- Helps re-acquaint with MATLAB after a break
Contras
- Lacks depth and thorough explanations in some areas
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características y beneficios
- Learn all about digital image processing using MATLAB
- Importance and necessity of image processing
- Applications in remote sensing, medical imaging, business, forensic sciences, and industrial automation
- Opportunities in defense, astronomy, biology, and industrial applications
- Coverage of various image processing techniques with MATLAB source code
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