Image Machine
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Beyond The Image Machine
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Author : David Tomas
language : en
Publisher: A&C Black
Release Date : 2004-03-01
Beyond The Image Machine written by David Tomas and has been published by A&C Black this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-01 with Philosophy categories.
Beyond the Image Machine is an eloquent and stimulating argument for an alternative history of scientific and technological imaging systems. Drawing on a range of hitherto and marginalised examples from the world of visual representation and the work of key theorists and thinkers, such as Latour, de Certeau, McLuhan and Barthes, David Tomas offers a disarticulated and deviant view of the relationship between archaic and new representations, imaging technologies and media induced experience. Rejecting the possibility of absolute forms of knowledge, Tomas shows how new media technologies have changed the nature of established disciplines. The book develops Tomas's own theory of transcultural space and makes several original contributions to current debates on the culture of advanced technology.
Practical Machine Learning And Image Processing
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Author : Himanshu Singh
language : en
Publisher: Apress
Release Date : 2019-02-26
Practical Machine Learning And Image Processing written by Himanshu Singh and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-26 with Computers categories.
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application. What You Will LearnDiscover image-processing algorithms and their applications using Python Explore image processing using the OpenCV library Use TensorFlow, scikit-learn, NumPy, and other libraries Work with machine learning and deep learning algorithms for image processing Apply image-processing techniques to five real-time projects Who This Book Is For Data scientists and software developers interested in image processing and computer vision.
Machine Learning In Image Analysis And Pattern Recognition
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Author : Munish Kumar
language : en
Publisher: MDPI
Release Date : 2021-09-08
Machine Learning In Image Analysis And Pattern Recognition written by Munish Kumar and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-08 with Technology & Engineering categories.
This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.
Beyond The Image Machine
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Author : David Tomas
language : en
Publisher: A&C Black
Release Date : 2004-03-01
Beyond The Image Machine written by David Tomas and has been published by A&C Black this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-01 with Philosophy categories.
Beyond the Image Machine is an eloquent and stimulating argument for an alternative history of scientific and technological imaging systems. Drawing on a range of hitherto and marginalised examples from the world of visual representation and the work of key theorists and thinkers, such as Latour, de Certeau, McLuhan and Barthes, David Tomas offers a disarticulated and deviant view of the relationship between archaic and new representations, imaging technologies and media induced experience. Rejecting the possibility of absolute forms of knowledge, Tomas shows how new media technologies have changed the nature of established disciplines. The book develops Tomas's own theory of transcultural space and makes several original contributions to current debates on the culture of advanced technology.
Interactive Image Processing For Machine Vision
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Author : Bruce G. Batchelor
language : en
Publisher: Springer
Release Date : 2012-12-06
Interactive Image Processing For Machine Vision written by Bruce G. Batchelor and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Machine vision systems offer great potential in a large number of areas of manufacturing industry and are used principally for Automated Visual Inspection and Robot Vision. This publication presents the state of the art in image processing. It discusses techniques which have been developed for designing machines for use in industrial inspection and robot control, putting the emphasis on software and algorithms. A comprehensive set of image processing subroutines, which together form the basic vocabulary for the versatile image processing language IIPL, is presented. This language has proved to be extremely effective, working as a design tool, in solving numerous practical inspection problems. The merging of this language with Prolog provides an even more powerful facility which retains the benefits of human and machine intelligence. The authors bring together the practical experience and the picture material from a leading industrial research laboratory and the mathematical foundations necessary to understand and apply concepts in image processing. Interactive Image Processing is a self-contained reference book that can also be used in graduate level courses in electrical engineering, computer science and physics.
Biomedical Image Analysis And Machine Learning Technologies Applications And Techniques
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Author : Gonzalez, Fabio A.
language : en
Publisher: IGI Global
Release Date : 2009-12-31
Biomedical Image Analysis And Machine Learning Technologies Applications And Techniques written by Gonzalez, Fabio A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-31 with Computers categories.
Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.
Machine Learning Algorithms For Signal And Image Processing
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Author : Suman Lata Tripathi
language : en
Publisher: John Wiley & Sons
Release Date : 2022-12-01
Machine Learning Algorithms For Signal And Image Processing written by Suman Lata Tripathi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-01 with Technology & Engineering categories.
Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.
Hybrid Machine Intelligence For Medical Image Analysis
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Author : Siddhartha Bhattacharyya
language : en
Publisher: Springer
Release Date : 2019-08-08
Hybrid Machine Intelligence For Medical Image Analysis written by Siddhartha Bhattacharyya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-08 with Technology & Engineering categories.
The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
Machine Learning And Deep Learning Techniques For Medical Image Recognition
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Author : Ben Othman Soufiene
language : en
Publisher: CRC Press
Release Date : 2023-12-01
Machine Learning And Deep Learning Techniques For Medical Image Recognition written by Ben Othman Soufiene and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Technology & Engineering categories.
Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples. Features: Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathology Covers common research problems in medical image analysis and their challenges Focuses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging.
Machine Learning And Statistical Modeling Approaches To Image Retrieval
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Author : Yixin Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-11
Machine Learning And Statistical Modeling Approaches To Image Retrieval written by Yixin Chen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-11 with Science categories.
In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.