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Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition
by Morton John CantyImage Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed forward neural networks. New in the Fourth Edition: An in-depth treatment of a recent sequential change detection algorithm for polarimetric SAR image time series. The accompanying software consists of Python (open source) versions of all of the main image analysis algorithms. Presents easy, platform-independent software installation methods (Docker containerization). Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API). Examines deep learning examples including TensorFlow and a sound introduction to neural networks, Based on the success and the reputation of the previous editions and compared to other textbooks in the market, Professor Canty’s fourth edition differs in the depth and sophistication of the material treated as well as in its consistent use of computer codes to illustrate the methods and algorithms discussed. It is self-contained and illustrated with many programming examples, all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text.
Image and Reality: Kekule, Kopp, and the Scientific Imagination
by Alan J. RockeNineteenth-century chemists were faced with a particular problem: how to depict the atoms and molecules that are beyond the direct reach of our bodily senses. In visualizing this microworld, these scientists were the first to move beyond high-level philosophical speculations regarding the unseen. In Image and Reality, Alan Rocke focuses on the community of organic chemists in Germany to provide the basis for a fuller understanding of the nature of scientific creativity. Arguing that visual mental images regularly assisted many of these scientists in thinking through old problems and new possibilities, Rocke uses a variety of sources, including private correspondence, diagrams and illustrations, scientific papers, and public statements, to investigate their ability to not only imagine the invisibly tiny atoms and molecules upon which they operated daily, but to build detailed and empirically based pictures of how all of the atoms in complicated molecules were interconnected. These portrayals of “chemical structures,” both as mental images and as paper tools, gradually became an accepted part of science during these years and are now regarded as one of the central defining features of chemistry. In telling this fascinating story in a manner accessible to the lay reader, Rocke also suggests that imagistic thinking is often at the heart of creative thinking in all fields. Image and Reality is the first book in the Synthesis series, a series in the history of chemistry, broadly construed, edited by Angela N. H. Creager, John E. Lesch, Stuart W. Leslie, Lawrence M. Principe, Alan Rocke, E. C. Spary, and Audra J. Wolfe, in partnership with the Chemical Heritage Foundation.
Image and Reality: Kekulé, Kopp, and the Scientific Imagination (Synthesis Ser.)
by Alan J. RockeNineteenth-century chemists were faced with a particular problem: how to depict the atoms and molecules that are beyond the direct reach of our bodily senses. In visualizing this microworld, these scientists were the first to move beyond high-level philosophical speculations regarding the unseen. In Image and Reality, Alan Rocke focuses on the community of organic chemists in Germany to provide the basis for a fuller understanding of the nature of scientific creativity. Arguing that visual mental images regularly assisted many of these scientists in thinking through old problems and new possibilities, Rocke uses a variety of sources, including private correspondence, diagrams and illustrations, scientific papers, and public statements, to investigate their ability to not only imagine the invisibly tiny atoms and molecules upon which they operated daily, but to build detailed and empirically based pictures of how all of the atoms in complicated molecules were interconnected. These portrayals of “chemical structures,” both as mental images and as paper tools, gradually became an accepted part of science during these years and are now regarded as one of the central defining features of chemistry. In telling this fascinating story in a manner accessible to the lay reader, Rocke also suggests that imagistic thinking is often at the heart of creative thinking in all fields.Image and Reality is the first book in the Synthesis series, a series in the history of chemistry, broadly construed, edited by Angela N. H. Creager, John E. Lesch, Stuart W. Leslie, Lawrence M. Principe, Alan Rocke, E.C. Spary, and Audra J. Wolfe, in partnership with the Chemical Heritage Foundation.
Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems
by Krishnan B. Chandran Joseph M. Reinhardt H. S. UdaykumarImage-Based Computational Modeling of the Human Circulatory and Pulmonary Systems provides an overview of the current modeling methods and applications enhancing interventional treatments and computer-aided surgery. A detailed description of the techniques behind image acquisition, processing and three-dimensional reconstruction are included. Techniques for the computational simulation of solid and fluid mechanics and structure interaction are also discussed, in addition to various cardiovascular and pulmonary applications. Engineers and researchers involved with image processing and computational modeling of human organ systems will find this a valuable reference.
Image Based Computing for Food and Health Analytics: IBCFHA
by Rajeev Tiwari Deepika Koundal Shuchi UpadhyayIncrease in consumer awareness of nutritional habits has placed automatic food analysis in the spotlight in recent years. However, food-logging is cumbersome and requires sufficient knowledge of the food item consumed. Additionally, keeping track of every meal can become a tedious task. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to recall foods eaten. Food understanding from digital media has become a challenge with important applications in many different domains. Substantial research has demonstrated that digital imaging accurately estimates dietary intake in many environments and it has many advantages over other methods. However, how to derive the food information effectively and efficiently remains a challenging and open research problem. The provided recommendations could be based on calorie counting, healthy food and specific nutritional composition. In addition, if we also consider a system able to log the food consumed by every individual along time, it could provide health-related recommendations in the long-term. Computer Vision specialists have developed new methods for automatic food intake monitoring and food logging. Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics are key for sustainable food understanding. The need for AI based technologies that allow tracking of physical activities and nutrition habits are rapidly increasing and automatic analysis of food images plays an important role. Computer vision and image processing offers truly impressive advances to various applications like food analytics and healthcare analytics and can aid patients in keeping track of their calorie count easily by automating the calorie counting process. It can inform the user about the number of calories, proteins, carbohydrates, and other nutrients provided by each meal. The information is provided in real-time and thus proves to be an efficient method of nutrition tracking and can be shared with the dietician over the internet, reducing healthcare costs. This is possible by a system made up of, IoT sensors, Cloud-Fog based servers and mobile applications. These systems can generate data or images which can be analyzed using machine learning algorithms. Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed. This book examines the usage of 4.0 industrial revolution technologies such as computer vision and artificial intelligence in the field of healthcare and food industry, providing a comprehensive understanding of computer vision and intelligence methodologies which tackles the main challenges of food and health processing. Additionally, the text focuses on the employing sustainable 4 IR technologies through which consumers can attain the necessary diet and nutrients and can actively monitor their health. In focusing specifically on the food industry and healthcare analytics, it serves as a single source for multidisciplinary information involving AI and vision techniques in the food and health sector. Current advances such as Industry 4.0 and Fog-Cloud based solutions are covered in full, offering readers a fully rounded view of these rapidly advancing health and food analysis systems.
Image-Based Multilevel Biomechanical Modeling for Fall-Induced Hip Fracture
by Yunhua LuoFall-induced hip fracture is an epidemic health risk among elderly people. This book presents an image-based multilevel modeling approach to understanding the biomechanics involved in fall-induced hip fracture. By hierarchically integrating a body-level dynamics model, a femur-level finite element model, and a local bone failure model, the biomechanics approach is able to simulate all stages in sideways falls and to incorporate all biomechanical variables affecting hip fracture. This book is useful for clinicians to accurately evaluate fracture risk, for biomechanical engineers to virtually test hip protective devices, and for biomedical students to learn image-based biomechanical modeling techniques. This book also covers: Biomechanical viewing on bone composition, bone remodeling, and bone strength Bone imaging and information captured for constructing biomechanical models Bone mechanical testing and mechanical properties required for biomechanical modeling
Image-Based Prediction of Retinal Disease Progression: MICCAI Challenges, DIAMOND 2024 and MARIO 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings (Lecture Notes in Computer Science #15503)
by Gwenolé Quellec Mostafa El Habib Daho Rachid ZeghlacheThis book constitutes the proceedings from the MICCAI Challenges, Device-Independent Diabetic Macular Edema Onset Prediction, DIAMOND 2024, and Monitoring Age-Related macular degeneration progression in Optical coherence tomography, MARIO 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 15 papers included in this book from MARIO 2024 were carefully reviewed and selected from 17 submissions, whereas the 6 papers included here from DIAMOND 2024 were carefully reviewed and selected from 8 submissions. These papers focus on a wide range of state-of-the-art deep learning approaches to derive patient specific rules for Diabetic retinopathy (DR) and age-related macular degeneration (AMD) progression prediction from retinal images.
Image-Based Teaching: Techniques, Tips and Tricks
by Tara CatanzanoThis book offers detailed information on a variety of teaching techniques for radiology. Generational differences in communication and adult learning theory have led to changes in educational content delivery. Traditional didactic teaching methods are no longer embraced by students, requiring educators to learn and adopt new techniques. Radiologists currently in practice have little or no experience with these newer techniques, some thrust upon them abruptly by the COVID pandemic. In addition to practicing radiologists, the next generation of educators are currently in training and often do not receive instruction on educational theory and teaching techniques. It is incumbent upon members of the educational sphere to provide resources for these individuals. This work intends to provide just such a resource.The objectives of the book include: Explaining adult learning theory and brain-friendly teachingDescribing teaching techniques to leverage brain-friendly teachingReinforcing key points with links to online video-based lectures as an accompaniment to the text Topics covered across chapters include helping non-teaching faculty to teach, writing high quality MCQ questions, and teaching quality, safety, and professionalism. Each chapter will have one “key takeaway” chart at the conclusion of the chapter with high-yield key points highlighted in a bulleted format.This is an ideal guide for practicing radiologists, including those not currently working in academic centers. Faculty in non-academic centers can specifically benefit from chapters related to medical student, clinician and patient education. Future academic radiologists (i.e., fellows and residents) can benefit from the text as a foundation for careers in teaching hospitals and academic medical centers.
Image Beyond the Screen: Projection Mapping
by Daniel Schmitt Marine Thébault Ludovic BurczykowskiVideomapping with its use of digital images is an audiovisual format that has gained traction with the creative industries. It consists of projecting images onto diverse surfaces, according to their geometric characteristics. It is also synonymous with spatial augmented reality, projection mapping and spatial correspondence. Image Beyond the Screen lays the foundations for a field of interdisciplinary study, encompassing the audiovisual, humanities, and digital creation and technologies. It brings together contributions from researchers, and testimonials from some of the creators, technicians and organizers who now make up the many-faceted community of videomapping. Live entertainment, museum, urban or event planning, cultural heritage, marketing, industry and the medical field are just a few examples of the applications of this media.
Image Fusion in Preclinical Applications
by Claudia Kuntner-Hannes York HaemischThis book provides an accessible and comprehensive overview of the state of the art in multimodal, multiparametric preclinical imaging, covering all the modalities used in preclinical research. The role of different combinations of PET, CT, MR, optical, and optoacoustic imaging methods is examined and explained for a range of applications, from research in oncology, neurology, and cardiology to drug development. Examples of animal studies are highlighted in which multimodal imaging has been pivotal in delivering otherwise unobtainable information. Hardware and software image registration methods and animal-specific factors are also discussed. The readily understandable text is enhanced by numerous informative illustrations that help the reader to appreciate the similarities to, but also the differences from, clinical applications. Image Fusion in Preclinical Applications will be of interest to all who wish to learn more about the use of multimodal/multiparametric imaging as a tool for in vivo investigations in preclinical medical and pharmaceutical research.
Image-Guided Aesthetic Treatments
by Robert BardThis book offers a detailed and up-to-date overview of image-guided aesthetic treatments. A wide range of aesthetic image-guided procedures in different body regions are described in more than twenty chapters. For each procedure, the benefits of image guidance are identified and its use is clearly explained. The coverage includes all the major tools commonly employed by today’s aesthetic and plastic surgeons, such as spectral imaging, laser, microfocused ultrasound, and radiofrequency technologies. Image guidance of aesthetic treatments has a variety of benefits: Image-guided treatment by means of non-surgical or minimally invasive modalities greatly reduces patient anxiety and the likelihood of postoperative disfigurement. Image guidance allows the physician to measure the skin thickness and the depth of fat tissue and to evaluate the elasticity of the skin and subcutaneous tissues, improving thermal treatment outcomes. It can also map the arteries, veins, and nerves, thereby providing preoperative landmarks and permitting reduction of postoperative bleeding and avoidance of nerve damage. Furthermore, imaging can non-invasively identify subdermal fillers or implants, assisting in the identification of migration with attendant vascular compromise or nerve entrapment. Image-Guided Aesthetic Treatments will be a valuable guide and reference not only for aesthetic practitioners, plastic surgeons, and other specialists, but also for imaging technicians and interested laypersons.
Image-Guided Cancer Therapy: A Multidisciplinary Approach
by Damian E. Dupuy William N. Mcmullen Yuman FongImage-Guided Cancer Therapy: A Multidisciplinary Approach provides clinicians with in-depth coverage of the growing, dynamic field of interventional oncology. Combining the knowledge of expert editors and authors into one powerhouse reference, this book looks at tumor ablation, HIFU, embolic therapies, emerging technologies, and radiation therapy throughout the body (liver, bone, breast, gynecologic and prostate cancers, to name just a few) , and includes discussion of different imaging modalities. In the words of Peter Mueller, MD, author of the book's Foreword: "... The senior authors are all world renowned experts in interventional oncology, which is another example of the high quality authorship and experience that is brought to this book. The later chapters discuss therapies that are simply not covered in any other source. Everyone who is doing or wants to do ablation therapies and interventional oncology will face a time when they will be asked to use their expertise in less used and less investigated areas. There is nowhere else where the reader can get information on the prostate, breast, and gynecologic areas, and especially pediatrics....This book is an outstanding contribution to the literature and will become a 'must read' for all physicians who are interested in Interventional Oncology."
Image-guided Focused Ultrasound Therapy: Physics and Clinical Applications (ISSN)
by Feng Wu Gail Ter Haar Ian RivensUltrasound has been widely used in diagnostic imaging for a long time. In the past 10 years, image-guided focused ultrasound therapy has seen rapid growth, in biomedical science and engineering, and in clinical medicine. The purpose of this book is to bring internationally renowned authorities and experts in this field together to provide up-to-date and comprehensive reviews of basic physics, biomedical engineering, and clinical applications of focused ultrasound therapy in a widely accessible fashion.Focusing on applications in cancer treatment, this book covers basic principles, practical aspects, and clinical applications of focused ultrasound therapy. It reviews the medical physics and bio-effects of focused ultrasound beams on living tissues, dosimetric methods and measurements, transducer engineering, image guidance and monitoring (including magnetic resonance imaging -- MRI -- and ultrasound), treatment delivery systems, and clinical applications. The book also gives practical guidelines on patient setup, target localisation, treatment planning and image-guided procedures for the treatment in various sites, including the prostate, liver, pancreas, breast, kidney, uterus, bone, and brain.The book discusses major challenges for the use of focused ultrasound energy on living tissues and explores the cellular and physiological responses that can be employed in the fight against cancer from biological, physics and engineering perspectives. It also highlights recent advances, including the treatment of solid tumours using image-guided drug delivery, and the exploitation of microbubbles, nanoparticles, and other cutting-edge techniques. Readers who are interested in learning more about the technique and the clinical applications described in each chapter can find more information in the comprehensive bibliographies provided.This book is suitable for anyone involved in, or looking to become involved in, the research and clinical applications of focused ultrasound therapy, including medical professionals, physicists, biomedical engineers, graduate students and others working in this multidisciplinary field. It offers a balanced and critical assessment of state-of-the-art technologies, major challenges, and an outlook on the future of focused ultrasound therapy. It presents a thorough introduction for those new to the field while providing helpful, up-to-date information and guidelines for readers already using this therapy in clinical and pre-clinical settings.Key Features: Brings together a wide range of world-leading experts in this new field, presenting the latest clinical outcomes of using focused ultrasound for the treatment of benign and malignant diseases Covers the fundamental physics of focused ultrasound therapy and ultrasound-mediated drug delivery, including chapters on the mechanism of sonoporation, microbubble and ultrasound interaction, and their potential clinical applications Introduces clinical guidelines for focused ultrasound therapy, including indications and contraindications, treatment goals, the selection of patients, clinical observation during treatment procedure and follow-up, and characteristics of image changes after treatment
Image-Guided High-Precision Radiotherapy
by Esther G. C. TroostThis book equips readers with detailed knowledge on the current status of image-guided radiotherapy with photons and particles and highlights issues that need to be addressed in order to further improve treatment outcomes. The opening chapters cover clinical and technical aspects of target volume definition using anatomic (computed tomography and magnetic resonance imaging; MRI) as well as functional (MRI and positron emission tomography) imaging. Up-to-date information is then provided on the full range of image-guided high-precision radiotherapy techniques, including IMRT/VMAT, stereotactic body radiation therapy, MR-guided linear accelerators, MR-guided brachytherapy, and particle therapy. The role of ultrasonography in image-guided radiotherapy is discussed, as are the available means for target volume demarcation and stabilization and adaptive radiation therapy. Finally, outcome evaluation is explored in depth, with a particular focus on the role of multimodality imaging in predicting tumor control and normal tissue toxicity. The authors are experts in different specialties and the book will be of high value for radiation oncologists, medical physicists, radiologists, nuclear medicine physicians, and radiation technicians.
Image-Guided Management of COVID-19 Lung Disease
by Robert L. BardThis book offers a detailed and up-to-date overview of image-guided diagnostics in COVID-19 lung disease. A range of image-guided CT and ultrasound procedures in different chest regions are described. For each procedure, the benefits of image guidance are presented and its specialized application explained in the adult (outpatient, triage and hospital setting) and the pediatric patient. Lung Ultrasound Image Guidance assesses this rapidly evolving disease in real time while CT scans may be precisely targeted. The editor provides his 50+ year experience of multidisciplinary chest imaging including battlefield experience to optimally combat this recent viral assault. Image-Guided Management will be a valuable guide and reference not only for radiologists and pulmonary practitioners, but also for imaging technicians and First Responders. The intense public interest in safety and prevention is covered in the chapters on protection and decontamination. A chapter addressing the multiplicity of organ damage is useful for cardiologists and internists given the long differential diagnosis of respiratory distress entities. The emergence of point of care ultrasound providing 24/7 diagnostic access into inflammatory processes of the lung heralds its ascendance to the top tier of acute care diagnostic tools.
Image-Guided Radiation Therapy (Imaging in Medical Diagnosis and Therapy)
by J. Daniel BourlandImage-Guided Radiation Therapy presents key image-guided radiation treatment (IGRT) technologies for external beam radiotherapy. The book explores the decades-long technological developments that have occurred in the realm of image-guided conformal, customized radiation treatment. Expert authors, all of whom have actively participated in the develo
Image-Guided Spine Interventions
by Stanley Golovac John M. MathisHere is the second, completely revised and updated edition of the successful practical guide to image-guided spine intervention. It contains revised text and images as well as new sections and chapters. The updated text thoroughly discusses both well-established and new interventions that are applied to the spine for the purpose of pain relief.
Image Politics: The New Rhetoric of Environmental Activism (Revisioning Rhetoric Ser.)
by Kevin Michael DeLucaThis exceptional volume examines “image events” as a rhetorical tactic utilized by environmental activists. Author Kevin Michael DeLuca analyzes widely televised environmentalist actions in depth to illustrate how the image event fulfills fundamental rhetorical functions in constructing and transforming identities, discourses, communities, cultures, and world views. Image Politics also exhibits how such events create opportunities for a politics that does not rely on centralized leadership or universal metanarratives. The book presents a rhetoric of the visual for our mediated age as it illuminates new political possibilities currently enacted by radical environmental groups. Chapters in the volume cover key areas of environmental activism such as:*The rhetoric of social movements;*Imaging social movements;*Environmental justice groups; and*Participatory democracy. This book is of interest to scholars and students of rhetorical theory, media and communication theory, visual theory, environmental studies, social change movements, and political theory. It will also appeal to others interested in ecology, radical environmental politics, and activism, and is an excellent supplemental text in advanced undergraduate and graduate level courses in these areas.
Image Principles, Neck, and the Brain
by Luca SabaMagnetic resonance imaging (MRI) is a technique used in biomedical imaging and radiology to visualize internal structures of the body. Because MRI provides excellent contrast between different soft tissues, the technique is especially useful for diagnostic imaging of the brain, muscles, and heart.In the past 20 years, MRI technology has improved si
Image Processing: Tensor Transform and Discrete Tomography with MATLAB ®
by Artyom M. Grigoryan Merughan M. GrigoryanFocusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB® introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along parallel rays to more quickly and accurately reconstruct images from a finite number of projections, thereby avoiding overradiation of the body during a computed tomography (CT) scan. The book presents several new ideas, concepts, and methods, many of which have not been published elsewhere. New concepts include methods of transferring the geometry of rays from the plane to the Cartesian lattice, the point map of projections, the particle and its field function, and the statistical model of averaging. The authors supply numerous examples, MATLAB®-based programs, end-of-chapter problems, and experimental results of implementation. The main approach for image reconstruction proposed by the authors differs from existing methods of back-projection, iterative reconstruction, and Fourier and Radon filtering. In this book, the authors explain how to process each projection by a system of linear equations, or linear convolutions, to calculate the corresponding part of the 2-D tensor or paired transform of the discrete image. They then describe how to calculate the inverse transform to obtain the reconstruction. The proposed models for image reconstruction from projections are simple and result in more accurate reconstructions. Introducing a new theory and methods of image reconstruction, this book provides a solid grounding for those interested in further research and in obtaining new results. It encourages readers to develop effective applications of these methods in CT.
Image Processing and Acquisition using Python (Chapman And Hall/crc Mathematical And Computational Imaging Sciences Ser.)
by Ravishankar Chityala Sridevi PudipeddiImage Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing-one of the first books to integrate these topics together. By improving readers' knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectiv
Image Processing and Acquisition using Python (Chapman & Hall/CRC The Python Series)
by Ravishankar Chityala Sridevi PudipeddiImage Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing—one of the first books to integrate these topics together. By improving readers’ knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The second part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry. Features Covers both the physical methods of obtaining images and the analytical processing methods required to understand the science behind the images. Contains many examples, detailed derivations, and working Python examples of the techniques. Offers practical tips on image acquisition and processing. Includes numerous exercises to test the reader’s skills in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book’s web page. New to this edition Machine learning has become an indispensable part of image processing and computer vision, so in this new edition two new chapters are included: one on neural networks and the other on convolutional neural networks. A new chapter on affine transform and many new algorithms. Updated Python code aligned to the latest version of modules.
The Image Processing Handbook
by John C. Russ F. Brent NealConsistently 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.
Image Processing in Radiation Therapy (Imaging in Medical Diagnosis and Therapy)
by Kristy K. BrockImages from CT, MRI, PET, and other medical instrumentation have become central to the radiotherapy process in the past two decades, thus requiring medical physicists, clinicians, dosimetrists, radiation therapists, and trainees to integrate and segment these images efficiently and accurately in a clinical environment. Image Processing in Radiation
Image-Processing Techniques for Tumor Detection
by David F. Ross"Provides a current review of computer processing algorithms for the identification of lesions, abnormal masses, cancer, and disease in medical images. Presents useful examples from numerous imaging modalities for increased recognition of anomolies in MRI, CT, SPECT and digital/film X-Ray."