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Gerardus Blokdyk Image Identification A Complete Guide - 2020 Edition


What would have to be true for the option on the table to be the best possible choice? Has your scope been defined? What Image identification improvements can be made? What is out-of-scope initially? How are you doing compared to your industry? This exclusive Image Identification self-assessment will make you the entrusted Image Identification domain adviser by revealing just what you need to know to be fluent and ready for any Image Identification challenge. How do I reduce the effort in the Image Identification work to be done to get problems solved? How can I ensure that plans of action include every Image Identification task and that every Image Identification outcome is in place? How will I save time investigating strategic and tactical options and ensuring Image Identification costs are low? How can I deliver tailored Image Identification advice instantly with structured going-forward plans? There’s no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Image Identification essentials are covered, from every angle: the Image Identification self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Image Identification outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Image Identification practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Image Identification are maximized with professional results. Your purchase includes access details to the Image Identification self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: – The latest quick edition of the book in PDF – The latest complete edition of the book in PDF, which criteria correspond to the criteria in… – The Self-Assessment Excel Dashboard – Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation – In-depth and specific Image Identification Checklists – Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

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Gerardus Blokdyk ISO 20700 A Complete Guide - 2021 Edition

Gerardus Blokdyk ISO 19011 A Complete Guide - 2021 Edition

David Campbell Building an Authentic Leadership Image


Your image can be either an asset or a liability for you as a leader. Image building is neither superficial nor unimportant. It's not about creating a false image, but recognizing genuine aspects of yourself that should be coming across to other people-but aren't. Crafting your image requires you to gain a clear picture of the image people are currently perceiving, decide what image you would like to portray, and develop the skills to close the gap.

1212.45 RUR

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Jonathan B. Phillips Camera Image Quality Benchmarking


The essential guide to the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis Camera Image Quality Benchmarking contains the basic information and approaches for the use of subjectively correlated image quality metrics and outlines a framework for camera benchmarking. The authors show how to quantitatively compare image quality of cameras used for consumer photography. This book helps to fill a void in the literature by detailing the types of objective and subjective metrics that are fundamental to benchmarking still and video imaging devices. Specifically, the book provides an explanation of individual image quality attributes and how they manifest themselves to camera components and explores the key photographic still and video image quality metrics. The text also includes illustrative examples of benchmarking methods so that the practitioner can design a methodology appropriate to the photographic usage in consideration. The authors outline the various techniques used to correlate the measurement results from the objective methods with subjective results. The text also contains a detailed description on how to set up an image quality characterization lab, with examples where the methodological benchmarking approach described has been implemented successfully. This vital resource: Explains in detail the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis Provides best practice measurement protocols and methodologies, so readers can develop and define their own camera benchmarking system to industry standards Includes many photographic images and diagrammatical illustrations to clearly convey image quality concepts Champions benchmarking approaches that value the importance of perceptually correlated image quality metrics Written for image scientists, engineers, or managers involved in image quality and evaluating camera performance, Camera Image Quality Benchmarking combines knowledge from many different engineering fields, correlating objective (perception-independent) image quality with subjective (perception-dependent) image quality metrics.

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Mark Haidekker Advanced Biomedical Image Analysis


A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis Medical diagnostics and intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level. These tasks are supported by increasingly powerful computer methods to process and analyze images. This text serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics as well as for in-depth study. Advanced Biomedical Image Analysis presents methods in the four major areas of image processing: image enhancement and restoration, image segmentation, image quantification and classification, and image visualization. In each instance, the theory, mathematical foundation, and basic description of an image processing operator is provided, as well as a discussion of performance features, advantages, and limitations. Key algorithms are provided in pseudo-code to help with implementation, and biomedical examples are included in each chapter. Image registration, storage, transport, and compression are also covered, and there is a review of image analysis and visualization software. The accompanying live DVD contains a selection of image analysis software, and it provides most of the algorithms from the book so readers can immediately put their new knowledge to use. Members of the academic community involved in image-related research as well as members of the professional R&D sector will rely on this volume. It is also well suited as a textbook for graduate-level image processing classes in the computer science and engineering fields.

16343.55 RUR

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Mark Haidekker Advanced Biomedical Image Analysis


A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis Medical diagnostics and intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level. These tasks are supported by increasingly powerful computer methods to process and analyze images. This text serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics as well as for in-depth study. Advanced Biomedical Image Analysis presents methods in the four major areas of image processing: image enhancement and restoration, image segmentation, image quantification and classification, and image visualization. In each instance, the theory, mathematical foundation, and basic description of an image processing operator is provided, as well as a discussion of performance features, advantages, and limitations. Key algorithms are provided in pseudo-code to help with implementation, and biomedical examples are included in each chapter. Image registration, storage, transport, and compression are also covered, and there is a review of image analysis and visualization software. The accompanying live DVD contains a selection of image analysis software, and it provides most of the algorithms from the book so readers can immediately put their new knowledge to use. Members of the academic community involved in image-related research as well as members of the professional R&D sector will rely on this volume. It is also well suited as a textbook for graduate-level image processing classes in the computer science and engineering fields.

15415.94 RUR

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Группа авторов MRI at a Glance


Students of radiology and radiography at both undergraduate and postgraduate level often experience difficulty in learning MRI techniques. This book provides concise, easily accessible information on MRI physics which can be used as a revision tool. Topics covered include relaxation processes, image contrast, pulse sequences, image production, image quality, artefacts, MRA, instrumentation and safety. Double page spreads for each section will contain a diagram and/or image depicting the main concepts of MR physics together with a succinct account of the topic in bullet points and tables.

4104.08 RUR

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Arthur Ardeshir Goshtasby Theory and Applications of Image Registration


A hands-on guide to image registration theory and methods—with examples of a wide range of real-world applications Theory and Applications of Image Registration offers comprehensive coverage of feature-based image registration methods. It provides in-depth exploration of an array of fundamental issues, including image orientation detection, similarity measures, feature extraction methods, and elastic transformation functions. Also covered are robust parameter estimation, validation methods, multi-temporal and multi-modality image registration, methods for determining the orientation of an image, methods for identifying locally unique neighborhoods in an image, methods for detecting lines in an image, methods for finding corresponding points and corresponding lines in images, registration of video images to create panoramas, and much more. Theory and Applications of Image Registration provides readers with a practical guide to the theory and underpinning principles. Throughout the book numerous real-world examples are given, illustrating how image registration can be applied to problems in various fields, including biomedicine, remote sensing, and computer vision. Also provided are software routines to help readers develop their image registration skills. Many of the algorithms described in the book have been implemented, and the software packages are made available to the readers of the book on a companion website. In addition, the book: Explores the fundamentals of image registration and provides a comprehensive look at its multi-disciplinary applications Reviews real-world applications of image registration in the fields of biomedical imaging, remote sensing, computer vision, and more Discusses methods in the registration of long videos in target tracking and 3-D reconstruction Addresses key research topics and explores potential solutions to a number of open problems in image registration Includes a companion website featuring fully implemented algorithms and image registration software for hands-on learning Theory and Applications of Image Registration is a valuable resource for researchers and professionals working in industry and government agencies where image registration techniques are routinely employed. It is also an excellent supplementary text for graduate students in computer science, electrical engineering, software engineering, and medical physics.

14192 RUR

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Группа авторов Image Processing and Jump Regression Analysis


The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing procedures Estimation of jump regression curves Estimation of jump location curves of regression surfaces Jump-preserving surface reconstruction based on local smoothing Edge detection in image processing Edge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.

14777.41 RUR

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ZHIYUN Official Image Transmission Cable to Micro/Mini for Image transmission Transmitter HDMI-Compatible A/B/C Crane 3 LAB

Vincent Alfonso C. Essentials of Specific Learning Disability Identification


Practical, up-to-date guidance on identifying Specific Learning Disability Essentials of Specific Learning Disability Identification provides accessible, authoritative guidance on specific learning disability (SLD), with the most up-to-date information on assessment, identification, interventions, and more. Contributions by leading experts examine multiple theoretical orientations and various identification approaches for dyslexia, dyscalculia, dysgraphia, and other common SLDs. Emphasizing real-world utility, this book provides important information for professionals who work with children and youth at risk; many of the SLD identification practices can be put to work immediately, and the expert coverage offers many strategies and interventions for student support in the classroom. This new second edition has been updated to align with the most current understanding of SLD manifestations, diagnostic assessment, and evidence-based interventions, and includes new material covering nonverbal learning disability, speech-language impairment, general learning difficulties, and differentially diagnosing SLD from other conditions. Early SLD identification and the right kind of help can raise the trajectory of a child's life. This book provides in-depth information to facilitate accurate identification and appropriate intervention to help you help the children in your care. Understand how SLD manifests in academic performance Learn theory- and research-based approaches to SLD identification Examine the latest information about new aspects of SLD determination Utilize appropriate and effective intervention strategies for student support If a child's learning disability is caught early, and the correct type of support is provided, that child gets the chance to develop the skills that lead to achievement in school and beyond. As a high-incidence disorder, SLD affects 10-15 percent of the general population, making successful identification an essential skill for those who work with children. Essentials of Specific Learning Disability Identification provides authoritative guidance and practical methods that can help you start changing children's lives today.

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Rik Pintelon System Identification


Electrical Engineering System Identification A Frequency Domain Approach How does one model a linear dynamic system from noisy data? This book presents a general approach to this problem, with both practical examples and theoretical discussions that give the reader a sound understanding of the subject and of the pitfalls that might occur on the road from raw data to validated model. The emphasis is on robust methods that can be used with a minimum of user interaction. Readers in many fields of engineering will gain knowledge about: * Choice of experimental setup and experiment design * Automatic characterization of disturbing noise * Generation of a good plant model * Detection, qualification, and quantification of nonlinear distortions * Identification of continuous- and discrete-time models * Improved model validation tools and from the theoretical side about: * System identification * Interrelations between time- and frequency-domain approaches * Stochastic properties of the estimators * Stochastic analysis System Identification: A Frequency Domain Approach is written for practicing engineers and scientists who do not want to delve into mathematical details of proofs. Also, it is written for researchers who wish to learn more about the theoretical aspects of the proofs. Several of the introductory chapters are suitable for undergraduates. Each chapter begins with an abstract and ends with exercises, and examples are given throughout.

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Schoukens Johan System Identification. A Frequency Domain Approach


System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering. Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach. It high??lights many of the important steps in the identification process, points out the possible pitfalls to the reader, and illustrates the powerful tools that are available. Readers of this Second Editon will benefit from: MATLAB software support for identifying multivariable systems that is freely available at the website http://booksupport.wiley.com State-of-the-art system identification methods for both time and frequency domain data New chapters on non-parametric and parametric transfer function modeling using (non-)period excitations Numerous examples and figures that facilitate the learning process A simple writing style that allows the reader to learn more about the theo??retical aspects of the proofs and algorithms Unlike other books in this field, System Identification, Second Edition is ideal for practicing engineers, scientists, researchers, and both master's and PhD students in electrical, mechanical, civil, and chemical engineering.

15142.29 RUR

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Звонок дверной Xiaomi AI Face Identification DoorBell 2 Black


2589 RUR
AI Face Identification DoorBell 2 Xiaomi

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Rosemarie Kohn Good God?


The Image of GOD we have in our soul has the potential of enhancing our life. This happens when the image of GOD is one of goodness, justice, and encouragement. The opposite is also true. A GOD image can be destructive, inflict guilt, cause insecurity, and foster condemnation of self and others. In a refreshing and life-giving way the two authors, Rosemarie Kohn and Susanne Sonderbo, present a slideshow of insights: Kohn as the Biblical theologian, Sonderbo using developmental psychology. They address how a «Toxic Faith» can poison and writhe a person's life into absolutism. This happens, they note, when one image of GOD becomes dominant and exclusive of all other images. A section of the book is devoted to an analysis of the homosexuality debate inside and outside the Norwegian church. Using over 1400 letters from the «Sunde Case» in 1999 they uncover a variety of GOD images: rigid and judgmental, warm and comforting, some based on Scripture and others on a broad range of human experiences hoping in a gentle and loving GOD. Kohn and Sonderbo have through their work met many people with a GOD image causing much hurt and pain. It is the authors' hope that the book will be a helpful tool in reflection on and perhaps reconstruction of the GOD image to which the reader has grown accustomed. They advocate lifelong growth in faith. The book also provides pastors and therapists with a key to understanding. Both authors plead a case for images of GOD that focus on inclusivity, love, and friendship–offering inner strength and hopeful living. They also make a strong case for how our image of GOD is not so much about theology but rather about growth and development in our personal lives. How we imagine GOD says a great deal about how we look at ourselves and others.

1672.34 RUR

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Tinku Acharya JPEG2000 Standard for Image Compression


JPEG2000 Standard for Image Compression presents readers with the basic background to this multimedia compression technique and prepares the reader for a detailed understanding of the JPEG2000 standard, using both the underlying theory and the principles behind the algorithms of the JPEG2000 standard for scalable image compression. It introduces the VLSI architectures and algorithms for implementation of the JPEG2000 standard in hardware (not available in the current literature), an important technology for a number of image processing applications and devices such as digital camera, color fax, printer, and scanners.

10120.7 RUR

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Jan Flusser 2D and 3D Image Analysis by Moments


Presents recent significant and rapid development in the field of 2D and 3D image analysis 2D and 3D Image Analysis by Moments, is a unique compendium of moment-based image analysis which includes traditional methods and also reflects the latest development of the field. The book presents a survey of 2D and 3D moment invariants with respect to similarity and affine spatial transformations and to image blurring and smoothing by various filters. The book comprehensively describes the mathematical background and theorems about the invariants but a large part is also devoted to practical usage of moments. Applications from various fields of computer vision, remote sensing, medical imaging, image retrieval, watermarking, and forensic analysis are demonstrated. Attention is also paid to efficient algorithms of moment computation. Key features: Presents a systematic overview of moment-based features used in 2D and 3D image analysis. Demonstrates invariant properties of moments with respect to various spatial and intensity transformations. Reviews and compares several orthogonal polynomials and respective moments. Describes efficient numerical algorithms for moment computation. It is a «classroom ready» textbook with a self-contained introduction to classifier design. The accompanying website contains around 300 lecture slides, Matlab codes, complete lists of the invariants, test images, and other supplementary material. 2D and 3D Image Analysis by Moments, is ideal for mathematicians, computer scientists, engineers, software developers, and Ph.D students involved in image analysis and recognition. Due to the addition of two introductory chapters on classifier design, the book may also serve as a self-contained textbook for graduate university courses on object recognition.

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Kevin D. Murphy Modeling and Estimation of Structural Damage


Modelling and Estimation of Damage in Structures is a comprehensiveguide to solving the type of modelling and estimation problems associated with the physics of structural damage. Provides a model-based approach to damage identification Presents an in-depth treatment of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches Includes experimental examples of all detection and identification approaches Provides a clear means by which acquired data can be used to make decisions regarding maintenance and usage of a structure

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Tinku Acharya Image Processing


Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: * Image transformation techniques, including wavelet transformation and developments * Image enhancement and restoration, including noise modeling and filtering * Segmentation schemes, and classification and recognition of objects * Texture and shape analysis techniques * Fuzzy set theoretical approaches in image processing, neural networks, etc. * Content-based image retrieval and image mining * Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification * Remotely sensed images and their applications * Principles and applications of dynamic scene analysis and moving object detection and tracking * Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.

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