Advance concepts of image processing and pattern recognition : effective solution for global challenges
著者
書誌事項
Advance concepts of image processing and pattern recognition : effective solution for global challenges
（Transactions on computer systems and networks / series editor Amlan Chakrabarti）
Springer, c2022
- : hbk
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注記
Other editors: Celia Shahnaz, Krishna Kumar, Mazin Abed Mohammed, Ram Shringar Raw
Includes bibliographical references
内容説明・目次
内容説明
The book explains the important concepts and principles of image processing to implement the algorithms and techniques to discover new problems and applications. It contains numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. It presents essential background theory, shape methods, texture about new methods, and techniques for image processing and pattern recognition. It maintains a good balance between a mathematical background and practical implementation. This book also contains the comparison table and images that are used to show the results of enhanced techniques. This book consists of novel concepts and hybrid methods for providing effective solutions for society. It also includes a detailed explanation of algorithms in various programming languages like MATLAB, Python, etc. The security features of image processing like image watermarking and image encryption etc. are also discussed in this book. This book will be useful for those who are working in the field of image processing, pattern recognition, and security for digital images. This book targets researchers, academicians, industry, and professionals from R&D organizations, and students, healthcare professionals working in the field of medical imaging, telemedicine, cybersecurity, data scientist, artificial intelligence, image processing, digital hospital, intelligent medicine.
目次
Chapter 1: Introduction of Image processingChapter 2: Image Enhancement
Chapter 3: Image segmentation and image colorization
Chapter 4: Image classification, fusion, and reconstruction
Chapter 5: Feature Extraction
Chapter 6: Pattern recognition and computer vision applications in Agriculture, GIS, Surveillance and Robotics.
Chapter 7: Statistical Pattern Recognition and Supervised Learning
Chapter 8: Artificial Intelligence, Machine and Deep Learning for pattern recognition
Chapter 9: Image compression and Cloud Imaging
Chapter 10: Neural network and data science in image processing
Chapter 11: Imaging acquisition and Biometrics
Chapter 12: Application of medical Imaging in telemedicine.
Chapter 13: Digital Image security, privacy, and future challenges
Chapter 14: AI methodologies for medical images analysis
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