Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing write by Arun Kumar Rana. This book was released on 2024-11-22. Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing available in PDF, EPUB and Kindle. This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems. The book is divided into sections that deal with Artificial intelligence and machine learning in medicine and healthcare Intelligent decision-making and analysis technology Machine learning and deep learning for agriculture Artificial intelligence and machine learning for security solutions Automation in image processing Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of artificial intelligence and machine learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas.
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities write by Chakraborty, Shouvik. This book was released on 2020-03-13. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities available in PDF, EPUB and Kindle. Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
Image Fusion
Image Fusion - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Image Fusion write by Gang Xiao. This book was released on 2020-08-31. Image Fusion available in PDF, EPUB and Kindle. This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.
Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing
Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing write by Rohit Raja. This book was released on 2020-12-23. Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing available in PDF, EPUB and Kindle. Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology. This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems. This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning. FEATURES Highlights the framework of robust and novel methods for medical image processing techniques Discusses implementation strategies and future research directions for the design and application requirements of medical imaging Examines real-time application needs Explores existing and emerging image challenges and opportunities in the medical field
Advances in Soft Computing and Machine Learning in Image Processing
Advances in Soft Computing and Machine Learning in Image Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Soft Computing and Machine Learning in Image Processing write by Aboul Ella Hassanien. This book was released on 2017-10-13. Advances in Soft Computing and Machine Learning in Image Processing available in PDF, EPUB and Kindle. This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
