Item #:
246370269
Digital Image Processing: Concepts, Algorithms, and Scientific Applications
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Item #:
246370269
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What Stands Out
Comprehensive Coverage
This book offers in-depth discussions on various digital image processing concepts, algorithms, and applications, making it a complete guide for students and professionals alike in the field.
Practical Applications
It includes scientific applications that demonstrate how concepts work in real-world scenarios, enhancing comprehension and usability for readers looking to apply theory to practice.
Expert Contributions
Written by leading experts in the field, it ensures high-quality content enriched with the latest research findings, making it a valuable resource for those seeking cutting-edge knowledge.
Product Details
- Digital image processing is a fascinating subject in several aspects. Human beings perceive most of the information about their environment through their visual sense. While for a long time images could only be captured by photography, we are now at the edge of another technological revolution which allows image data to be captured, manipulated, and evaluated electronically with computers. With breathtaking pace, computers are becoming more powerful and at the same time less expensive, so that widespread applications for digital image processing emerge. In this way, image processing is becoming a tremendous tool to analyze image data in all areas of natural science. For more and more scientists digital image processing will be the key to study complex scientific problems they could not have dreamed to tackle only a few years ago. A door is opening for new interdisciplinary cooperations merging computer science with the corresponding research areas. Many students, engineers, and researchers in all natural sciences are faced with the problem of needing to know more about digital image processing. This book is written to meet this need. The author- himself educated in physics- describes digital image processing as a new tool for scientific research. The book starts with the essentials of image processing and leads - in selected areas - to the state-of-the art. This approach gives an insight as to how image processing really works. Daha fazla göster
| Yayıncı | Springer |
| Yayınlanma Tarihi | 22 Ekim 1993 |
| Baskı | 2. nesil |
| Dil | İngilizce |
| ISBN-10 | 3540569413 |
| ISBN-13 | 978-3540569411 |
| Country of Origin | This item will be imported from TR |
| What is in the box | Digital Image Processing: Concepts... For more details, please check description/product details |
| Item Weight | 2.5 lbs (1.13 kg) |
Who Should Buy?
-
Students in STEM
Ideal for undergraduate and graduate students studying computer science or engineering focused on digital image processing.
-
Professionals in Tech
Beneficial for software engineers and data scientists working on image recognition and computer vision applications.
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Researchers in Academia
Useful for researchers exploring advanced algorithms and scientific applications related to digital image processing.
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Casual Learners
Not suitable for casual learners with no background in computer science or mathematics, as content is technical.
Product Description
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İngilizce Baskı Bernd Jähne Format: Kağıt Kapak Editorial Review
Digital Image Processing: Concepts Algorithms and Scientific Applications is a comprehensive resource published by Springer that covers various aspects of digital image processing. The book, now in its second edition, was released on October 22, 1993, and is written in English. It delves into fundamental concepts with detailed algorithms and practical applications, making it suitable for both students and professionals in the field. Its comprehensive content is complemented by the thorough review from readers who praise its in-depth analysis and clarity of concepts, proving to be a valuable addition to anyone's library seeking to enhance their knowledge and skills in digital image processing.
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Pros
- Comprehensive coverage of digital image processing concepts
- Detailed algorithms for practical applications
- Valuable resource for students and professionals
- Well-structured and clear explanations
- Second edition with updated content
Cons
- Some topics may feel outdated for current technologies
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