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A Selection Of Image Analysis Techniques


A Selection Of Image Analysis Techniques
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Advances In Computational Techniques For Biomedical Image Analysis


Advances In Computational Techniques For Biomedical Image Analysis
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Author : Deepika Koundal
language : en
Publisher: Academic Press
Release Date : 2020-05-28

Advances In Computational Techniques For Biomedical Image Analysis written by Deepika Koundal and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with Computers categories.


Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. - Covers various challenges and common research issues related to biomedical image analysis - Describes advanced computational approaches for biomedical image analysis - Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. - Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization - Explores cloud based medical imaging together with medical imaging security and forensics



Digital Image Analysis


Digital Image Analysis
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Author : Walter Kropatsch
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-05-25

Digital Image Analysis written by Walter Kropatsch 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 2001-05-25 with Computers categories.


The challenge behind the processing of digital images is the huge amounts of data that has to be processed in an extremely short period of time. This book is a broad-ranging technical survey of computational and analytical methods and tools for digital image analysis and interpretation. The ultimate goal is to create a rich set of computational methods for image analysis and interpretation that can achieve rapid response times. This book will serve as an excellent up-to-date resource for computer scientists and engineers in digital imaging and analysis.



A Selection Of Image Analysis Techniques


A Selection Of Image Analysis Techniques
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Author : Yu-Jin Zhang
language : en
Publisher: CRC Press
Release Date : 2022-10-05

A Selection Of Image Analysis Techniques written by Yu-Jin Zhang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-05 with Computers categories.


This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image‐processing related problems in real-life situations. The selected techniques include image segmentation, segmentation evaluation and comparison, saliency object detection, motion analysis, mathematical morphology methods, face recognition and expression classification. The author offers readers a three‐step strategy toward problem‐solving: first, essential principles; then, a detailed explanation; and finally, a discussion on practical and working techniques for specific tasks. He also encourages readers to make full use of available materials from the latest developments and trends. This is an excellent book for those who do not have a complete foundation in image technology but need to use image analysis techniques to perform specific tasks in particular applications.



Computational Techniques For Dental Image Analysis


Computational Techniques For Dental Image Analysis
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Author : Kamalanand, K.
language : en
Publisher: IGI Global
Release Date : 2018-10-30

Computational Techniques For Dental Image Analysis written by Kamalanand, K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Medical categories.


With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.



Image Processing And Analysis


Image Processing And Analysis
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Author : Tony F. Chan
language : en
Publisher: SIAM
Release Date : 2005-09-01

Image Processing And Analysis written by Tony F. Chan and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-01 with Computers categories.


This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art methodologies in modern image processing, whilst organizing contemporary literature into a coherent and logical structure. The authors have integrated the diversity of modern image processing approaches by revealing the few common threads that connect them to Fourier and spectral analysis, the machinery that image processing has been traditionally built on. The text is systematic and well organized: the geometric, functional, and atomic structures of images are investigated, before moving to a rigorous development and analysis of several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples.



A Selection Of Image Processing Techniques


A Selection Of Image Processing Techniques
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Author : Yu-Jin Zhang
language : en
Publisher: CRC Press
Release Date : 2021-12-27

A Selection Of Image Processing Techniques written by Yu-Jin Zhang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-27 with Computers categories.


A Selection of Image Processing Techniques: From Fundamentals to Research Front focuses on seven commonly used image-processing techniques. These are de-noising, de-blurring, repairing, de-fogging, reconstruction from projection, watermarking, and super-resolution. This book is suitable for readers who do not have a complete foundation in the principles of image technology but need to use image techniques to solve specific tasks in particular applications. Hence, elementary knowledge for further study is provided, allowing the reader to discover suitable techniques for solving practical problems and to learn the latest developments in a specific domain. This book offers readers a three-step strategy toward problem solving: first, essential principles, then, a detailed explanation, and finally, a discussion of practical and working techniques for specific tasks. Throughout, the author highlights materials pertaining to the newest developments and trends of the technologies.



Artificial Intelligence Techniques For Satellite Image Analysis


Artificial Intelligence Techniques For Satellite Image Analysis
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Author : D. Jude Hemanth
language : en
Publisher: Springer Nature
Release Date : 2019-11-13

Artificial Intelligence Techniques For Satellite Image Analysis written by D. Jude Hemanth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with Computers categories.


The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.



Advances In Face Image Analysis


Advances In Face Image Analysis
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Author : Yu-Jin Zhang
language : en
Publisher: Engineering Science Reference
Release Date : 2011

Advances In Face Image Analysis written by Yu-Jin Zhang and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


"This book reviews and surveys new forward-thinking research and development in face image analysis technologies"--Provided by publisher.



Biomedical Image Analysis And Machine Learning Technologies Applications And Techniques


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.



Statistical Image Processing Techniques For Noisy Images


Statistical Image Processing Techniques For Noisy Images
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Author : François Goudail
language : en
Publisher: Springer Science & Business Media
Release Date : 2004

Statistical Image Processing Techniques For Noisy Images written by François Goudail 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 2004 with Computers categories.


Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.