3d Image Processing

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3D Image Processing

D. Caramella,C. Bartolozzi
3D Image Processing Book PDF

Author : D. Caramella,C. Bartolozzi
Publisher : Springer Science & Business Media
Page : 329 pages
File Size : 53,8 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9783642594380

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3D Image Processing by D. Caramella,C. Bartolozzi Pdf

Few fields have witnessed such impressive advances as the application of computer technology to radiology. The progress achieved has revolutionized diagnosis and greatly facilitated treatment selection and accurate planning of procedures. This book, written by leading experts from many different countries, provides a comprehensive and up-to-date overview of the role of 3D image processing. The first section covers a wide range of technical aspects in an informative way. This is followed by the main section, in which the principal clinical applications are described and discussed in depth. To complete the picture, the final section focuses on recent developments in functional imaging and computer-aided surgery. This book will prove invaluable to all who have an interest in this complex but vitally important field.

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi
Artificial Intelligence and Machine Learning in 2D 3D Medical Image Processing Book PDF

Author : Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi
Publisher : CRC Press
Page : 181 pages
File Size : 49,9 Mb
Release : 2020-12-23
Category : Technology & Engineering
ISBN : 9781000337136

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Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing by Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi Pdf

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

Fundamentals of Three-dimensional Digital Image Processing

Junichiro Toriwaki,Hiroyuki Yoshida
Fundamentals of Three dimensional Digital Image Processing Book PDF

Author : Junichiro Toriwaki,Hiroyuki Yoshida
Publisher : Springer Science & Business Media
Page : 278 pages
File Size : 48,6 Mb
Release : 2009-04-23
Category : Computers
ISBN : 9781848001732

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Fundamentals of Three-dimensional Digital Image Processing by Junichiro Toriwaki,Hiroyuki Yoshida Pdf

This book is a detailed description of the basics of three-dimensional digital image processing. A 3D digital image (abbreviated as “3D image” below) is a digitalized representation of a 3D object or an entire 3D space, stored in a computer as a 3D array. Whereas normal digital image processing is concerned with screens that are a collection of square shapes called “pixels” and their corresponding density levels, the “image plane” in three dimensions is represented by a division into cubical graphical elements (called “voxels”) that represent corresponding density levels. Inthecontextofimageprocessing,in manycases3Dimageprocessingwill refer to the input of multiple 2D images and performing processing in order to understand the 3D space (or “scene”) that they depict. This is a result of research into how to use input from image sensors such as television cameras as a basis for learning about a 3D scene, thereby replicating the sense of vision for humans or intelligent robots, and this has been the central problem in image processing research since the 1970s. However, a completely di?erent type of image with its own new problems, the 3D digital image discussed in this book, rapidly took prominence in the 1980s, particularly in the ?eld of medical imaging. These were recordings of human bodies obtained through computed (or “computerized”) tomography (CT),imagesthatrecordednotonlytheexternal,visiblesurfaceofthesubject but also, to some degree of resolution, its internal structure. This was a type of image that no one had experienced before.

3D Imaging, Analysis and Applications

Yonghuai Liu,Nick Pears,Paul L. Rosin,Patrik Huber
3D Imaging Analysis and Applications Book PDF

Author : Yonghuai Liu,Nick Pears,Paul L. Rosin,Patrik Huber
Publisher : Springer Nature
Page : 736 pages
File Size : 47,9 Mb
Release : 2020-09-11
Category : Computers
ISBN : 9783030440701

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3D Imaging, Analysis and Applications by Yonghuai Liu,Nick Pears,Paul L. Rosin,Patrik Huber Pdf

This textbook is designed for postgraduate studies in the field of 3D Computer Vision. It also provides a useful reference for industrial practitioners; for example, in the areas of 3D data capture, computer-aided geometric modelling and industrial quality assurance. This second edition is a significant upgrade of existing topics with novel findings. Additionally, it has new material covering consumer-grade RGB-D cameras, 3D morphable models, deep learning on 3D datasets, as well as new applications in the 3D digitization of cultural heritage and the 3D phenotyping of crops. Overall, the book covers three main areas: ● 3D imaging, including passive 3D imaging, active triangulation 3D imaging, active time-of-flight 3D imaging, consumer RGB-D cameras, and 3D data representation and visualisation; ● 3D shape analysis, including local descriptors, registration, matching, 3D morphable models, and deep learning on 3D datasets; and ● 3D applications, including 3D face recognition, cultural heritage and 3D phenotyping of plants. 3D computer vision is a rapidly advancing area in computer science. There are many real-world applications that demand high-performance 3D imaging and analysis and, as a result, many new techniques and commercial products have been developed. However, many challenges remain on how to analyse the captured data in a way that is sufficiently fast, robust and accurate for the application. Such challenges include metrology, semantic segmentation, classification and recognition. Thus, 3D imaging, analysis and their applications remain a highly-active research field that will continue to attract intensive attention from the research community with the ultimate goal of fully automating the 3D data capture, analysis and inference pipeline.

Three-Dimensional Imaging, Visualization, and Display

Bahram Javidi,Fumio Okano,Jung-Young Son
Three Dimensional Imaging Visualization and Display Book PDF

Author : Bahram Javidi,Fumio Okano,Jung-Young Son
Publisher : Springer Science & Business Media
Page : 531 pages
File Size : 44,7 Mb
Release : 2010-07-15
Category : Science
ISBN : 9780387793351

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Three-Dimensional Imaging, Visualization, and Display by Bahram Javidi,Fumio Okano,Jung-Young Son Pdf

Here is an up-to-date examination of recent developments in 3D imaging, as well as coverage of the prospects and challenges facing 3D moving picture systems and devices, including binocular, multi-view, holographic, and image reproduction techniques.

3D Imaging in Medicine

Karl H. Höhne,Henry Fuchs,Stephen M. Pizer
3D Imaging in Medicine Book PDF

Author : Karl H. Höhne,Henry Fuchs,Stephen M. Pizer
Publisher : Springer Science & Business Media
Page : 449 pages
File Size : 54,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642842115

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3D Imaging in Medicine by Karl H. Höhne,Henry Fuchs,Stephen M. Pizer Pdf

The visualization of human anatomy for diagnostic, therapeutic, and educational pur poses has long been a challenge for scientists and artists. In vivo medical imaging could not be introduced until the discovery of X-rays by Wilhelm Conrad ROntgen in 1895. With the early medical imaging techniques which are still in use today, the three-dimensional reality of the human body can only be visualized in two-dimensional projections or cross-sections. Recently, biomedical engineering and computer science have begun to offer the potential of producing natural three-dimensional views of the human anatomy of living subjects. For a broad application of such technology, many scientific and engineering problems still have to be solved. In order to stimulate progress, the NATO Advanced Research Workshop in Travemiinde, West Germany, from June 25 to 29 was organized. It brought together approximately 50 experts in 3D-medical imaging from allover the world. Among the list of topics image acquisition was addressed first, since its quality decisively influences the quality of the 3D-images. For 3D-image generation - in distinction to 2D imaging - a decision has to be made as to which objects contained in the data set are to be visualized. Therefore special emphasis was laid on methods of object definition. For the final visualization of the segmented objects a large variety of visualization algorithms have been proposed in the past. The meeting assessed these techniques.

Recent Advances in 3D Imaging, Modeling, and Reconstruction

Voulodimos, Athanasios,Doulamis, Anastasios
Recent Advances in 3D Imaging Modeling and Reconstruction Book PDF

Author : Voulodimos, Athanasios,Doulamis, Anastasios
Publisher : IGI Global
Page : 396 pages
File Size : 53,7 Mb
Release : 2020-02-28
Category : Computers
ISBN : 9781522552956

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Recent Advances in 3D Imaging, Modeling, and Reconstruction by Voulodimos, Athanasios,Doulamis, Anastasios Pdf

3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes with many challenges, such as images becoming blurry by atmospheric turbulence, getting snowed with noise, or becoming damaged within foreign regions. It is imperative to remain well-informed with the latest research in this field. Recent Advances in 3D Imaging, Modeling, and Reconstruction is a collection of innovative research on the methods and common techniques of image reconstruction as well as the accuracy of these methods. Featuring coverage on a wide range of topics such as ray casting, holographic techniques, and machine learning, this publication is ideally designed for graphic designers, computer engineers, medical professionals, robotics engineers, city planners, game developers, researchers, academicians, and students.

Image Processing in Radiology

Emanuele Neri,Davide Caramella,Carlo Bartolozzi
Image Processing in Radiology Book PDF

Author : Emanuele Neri,Davide Caramella,Carlo Bartolozzi
Publisher : Springer Science & Business Media
Page : 438 pages
File Size : 41,9 Mb
Release : 2007-12-31
Category : Medical
ISBN : 9783540498308

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Image Processing in Radiology by Emanuele Neri,Davide Caramella,Carlo Bartolozzi Pdf

This book, written by leading experts from many countries, provides a comprehensive and up-to-date description of how to use 2D and 3D processing tools in clinical radiology. The opening section covers a wide range of technical aspects. In the main section, the principal clinical applications are described and discussed in depth. A third section focuses on a variety of special topics. This book will be invaluable to radiologists of any subspecialty.

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi
Artificial Intelligence and Machine Learning in 2D 3D Medical Image Processing Book PDF

Author : Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi
Publisher : CRC Press
Page : 215 pages
File Size : 47,5 Mb
Release : 2020-12-22
Category : Medical
ISBN : 9781000337075

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Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing by Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi Pdf

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

3D Imaging—Multidimensional Signal Processing and Deep Learning

Lakhmi C. Jain,Roumen Kountchev,Yonghang Tai,Roumiana Kountcheva
3D Imaging Multidimensional Signal Processing and Deep Learning Book PDF

Author : Lakhmi C. Jain,Roumen Kountchev,Yonghang Tai,Roumiana Kountcheva
Publisher : Springer Nature
Page : 262 pages
File Size : 51,9 Mb
Release : 2022-07-01
Category : Technology & Engineering
ISBN : 9789811924484

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3D Imaging—Multidimensional Signal Processing and Deep Learning by Lakhmi C. Jain,Roumen Kountchev,Yonghang Tai,Roumiana Kountcheva Pdf

This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers devoted to the theoretical representation and analysis of the 3D images. The related topics included are 3D image transformation, 3D tensor image representation, 3D content generation technologies, 3D graphic information processing, VR content generation technologies, multi-dimensional image processing, dynamic and auxiliary 3D displays, VR/AR/MR device, VR camera technologies, 3D imaging technologies and applications, 3D computer vision, 3D video communications, 3D medical images processing and analysis, 3D remote sensing images and systems, deep learning for image restoration and recognition, neural networks for MD image processing, etc.

The Image Processing Handbook

John C. Russ,F. Brent Neal
The Image Processing Handbook Book PDF

Author : John C. Russ,F. Brent Neal
Publisher : CRC Press
Page : 1035 pages
File Size : 50,5 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781498740289

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The Image Processing Handbook by John C. Russ,F. Brent Neal Pdf

Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more. Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.

2D and 3D Image Analysis by Moments

Jan Flusser,Tomas Suk,Barbara Zitova
2D and 3D Image Analysis by Moments Book PDF

Author : Jan Flusser,Tomas Suk,Barbara Zitova
Publisher : John Wiley & Sons
Page : 555 pages
File Size : 40,9 Mb
Release : 2016-12-19
Category : Technology & Engineering
ISBN : 9781119039358

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2D and 3D Image Analysis by Moments by Jan Flusser,Tomas Suk,Barbara Zitova Pdf

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.

Depth Map and 3D Imaging Applications: Algorithms and Technologies

Malik, Aamir Saeed
Depth Map and 3D Imaging Applications Algorithms and Technologies Book PDF

Author : Malik, Aamir Saeed
Publisher : IGI Global
Page : 648 pages
File Size : 42,7 Mb
Release : 2011-11-30
Category : Computers
ISBN : 9781613503270

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Depth Map and 3D Imaging Applications: Algorithms and Technologies by Malik, Aamir Saeed Pdf

Over the last decade, significant progress has been made in 3D imaging research. As a result, 3D imaging methods and techniques are being employed for various applications, including 3D television, intelligent robotics, medical imaging, and stereovision. Depth Map and 3D Imaging Applications: Algorithms and Technologies present various 3D algorithms developed in the recent years and to investigate the application of 3D methods in various domains. Containing five sections, this book offers perspectives on 3D imaging algorithms, 3D shape recovery, stereoscopic vision and autostereoscopic vision, 3D vision for robotic applications, and 3D imaging applications. This book is an important resource for professionals, scientists, researchers, academics, and software engineers in image/video processing and computer vision.

3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning

Lakhmi C. Jain,Roumen Kountchev,Yonghang Tai
3D Imaging Technologies Multidimensional Signal Processing and Deep Learning Book PDF

Author : Lakhmi C. Jain,Roumen Kountchev,Yonghang Tai
Publisher : Springer Nature
Page : 332 pages
File Size : 50,7 Mb
Release : 2021-08-29
Category : Technology & Engineering
ISBN : 9789811631801

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3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning by Lakhmi C. Jain,Roumen Kountchev,Yonghang Tai Pdf

This book presents high-quality research in the field of 3D imaging technology. The second edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first 3DIT conference (IC3DIT2019) to provide a wide scientific forum for researchers, academia and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in 2 volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.

3D Imaging in Medicine, Second Edition

Jayaram K. Udupa,Gabor T. Herman
3D Imaging in Medicine Second Edition Book PDF

Author : Jayaram K. Udupa,Gabor T. Herman
Publisher : CRC Press
Page : 394 pages
File Size : 46,5 Mb
Release : 1999-09-28
Category : Medical
ISBN : 084933179X

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3D Imaging in Medicine, Second Edition by Jayaram K. Udupa,Gabor T. Herman Pdf

The ability to visualize, non-invasively, human internal organs in their true from and shape has intrigued mankind for centuries. While the recent inventions of medical imaging modalities such as computerized tomography and magnetic resonance imaging have revolutionized radiology, the development of three-dimensional (3D) imaging has brought us closer to the age-old quest of non-invasive visualization. The ability to not only visualize but to manipulate and analyze 3D structures from captured multidimensional image data, is vital to a number of diagnostic and therapeutic applications. 3D Imaging in Medicine, Second Edition, unique in its contents, covers both the technical aspects and the actual medical applications of the process in a single source. The value of this technology is obvious. For example, three dimensional imaging allows a radiologist to accurately target the positioning and dosage of chemotherapy as well as to make more accurate diagnoses by showing more pathology; it allows the vascular surgeon to study the flow of blood through clogged arteries; it allows the orthopedist to find all the pieces of a compound fracture; and, it allows oncologists to perform less invasive biopsies. In fact, one of the most important uses of 3D Imaging is in computer-assisted surgery. For example, in cancer surgery, computer images show the surgeon the extent of the tumor so that only the diseased tissue is removed. In short, 3D imaging provides clinicians with information that saves time and money. 3D Imaging in Medicine, Second Edition provides a ready reference on the fundamental science of 3D imaging and its medical applications. The chapters have been written by experts in the field, and the technical aspects are covered in a tutorial fashion, describing the basic principles and algorithms in an easily understandable way. The application areas covered include: surgical planning, neuro-surgery, orthopedics, prosthesis design, brain imaging, analysis of cardio-pulmonary structures, and the assessment of clinical efficacy. The book is designed to provide a quick and systematic understanding of the principles of biomedical visualization to students, scientists and researchers, and to act as a source of information to medical practitioners on a wide variety of clinical applications of 3D imaging.