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Skeletonization: Theory, Methods and Applications is a comprehensive reference on skeletonization, written by the world's leading researchers in the field. The book presents theory, methods, algorithms and their evaluation, together with applications. Skeletonization is used in many image processing and computer vision applications such as shape recognition and analysis, shape decomposition and character recognition, as well as medical imaging for pulmonary, cardiac, mammographic applications. Part I includes theories and methods unique to skeletonization. Part II includes novel applications including skeleton-based characterization of human trabecular bone micro-architecture, image registration and correspondence establishment in anatomical structures, skeleton-based fast, fully automated generation of vessel tree structure for clinical evaluation of blood vessel systems. - Offers a complete picture of skeletonization and its application to image processing, computer vision, pattern recognition and biomedical engineering - Provides an in-depth presentation on various topics of skeletonization, including principles, theory, methods, algorithms, evaluation and real-life applications - Discusses distance-analysis, geometry, topology, scale and symmetry-analysis in the context of object understanding and analysis using medial axis and skeletonization
This book constitutes the refereed proceedings of the First International Visual Informatics Conference, IVIC 2009, held in Kuala Lumpur, Malaysia, in November 2009. The 82 revised research papers presented together with four invited keynote papers were carefully reviewed and selected from 216 submissions. The papers are organized in topical sections on virtual technologies and systems, virtual environment, visualization, engineering and simulation, as well as visual culture, services and society.
The last half century has seen the development of many biological or physical t- ories that have explicitly or implicitly involved medial descriptions of objects and other spatial entities in our world. Simultaneously mathematicians have studied the properties of these skeletal descriptions of shape, and, stimulated by the many areas where medial models are useful, computer scientists and engineers have developed numerous algorithms for computing and using these models. We bring this kno- edge and experience together into this book in order to make medial technology more widely understood and used. The book consists of an introductory chapter, two chapters on the major mat- matical results on medial representations, ?ve chapters on algorithms for extracting medial models from boundary or binary image descriptions of objects, and three chapters on applications in image analysis and other areas of study and design. We hope that this book will serve the science and engineering communities using medial models and will provide learning material for students entering this ?eld. We are fortunate to have recruited many of the world leaders in medial theory, algorithms, and applications to write chapters in this book. We thank them for their signi?cant effort in preparing their contributions. We have edited these chapters and have combined them with the ?ve chapters that we have written to produce an integrated whole.
The book is an extensive compilation of the papers presented at the IAPR International Workshop on Structural and Syntactic Pattern Recognition SSPR'94. It includes a preface by Professor Herbert Freeman, who is the recipient of the IAPR King Sun Fu Award for 1994. The book is divided into four parts and covers state-of-the art topics related to a variety of aspects of pattern recognition.
This book provides researchers an inspirational look at how to process and visualize complicated 2D and 3D images known as tensor fields. With numerous color figures, it details both the underlying mathematics and the applications of tensor fields.
For more than 40 years, pattern recognition approaches are continuingly improving and have been used in an increasing number of areas with great success. This book discloses recent advances and new ideas in approaches and applications for pattern recognition. The 30 chapters selected in this book cover the major topics in pattern recognition. These chapters propose state-of-the-art approaches and cutting-edge research results. I could not thank enough to the contributions of the authors. This book would not have been possible without their support.
The main goals in any forensic skeletal analysis are to answer who is the person represented (individualization), how that person died (trauma/pathology) and when that person died (the postmortem interval or PMI). The analyses necessary to generate the biological profile include the determination of human, nonhuman or nonosseous origin, the minimum number of individuals represented, age at death, sex, stature, ancestry, perimortem trauma, antemortem trauma, osseous pathology, odontology, and taphonomic effects—the postmortem modifications to a set of remains. The Manual of Forensic Taphonomy, Second Edition covers fundamental principles of these postmortem changes encountered during case analysis. Taphonomic processes can be highly destructive and subtract information from bones regarding their utility in determining other aspects of the biological profile, but they also can add information regarding the entire postmortem history of the remains and the relative timing of these effects. The taphonomic analyses outlined provide guidance on how to separate natural agencies from human-caused trauma. These analyses are also performed in conjunction with the field processing of recovery scenes and the interpretation of the site formation and their postdepositional history. The individual chapters categorize these alterations to skeletal remains, illustrate and explain their significance, and demonstrate differential diagnosis among them. Such observations may then be combined into higher-order patterns to aid forensic investigators in determining what happened to those remains in the interval from death to analysis, including the environment(s) in which the remains were deposited, including buried, terrestrial surface, marine, freshwater, or cultural contexts. Features Provides nearly 300 full-color illustrations of both common and rare taphonomic effects to bones, derived from actual forensic cases. • Presents new research including experimentation on recovery rates during surface search, timing of marine alterations, trophy skulls, taphonomic laboratory and field methods, laws regarding the relative timing of taphonomic effects, reptile taphonomy, human decomposition, and microscopic alterations by invertebrates to bones. • Explains and illustrates common taphonomic effects and clarifies standard terminology for uniformity and usage within in the field. While the book is primarily focused upon large vertebrate and specifically human skeletal remains, it effectively synthesizes data from human, ethological, geological/paleontological, paleoanthropological, archaeological artifactual, and zooarchaeological studies. Since these taphonomic processes affect other vertebrates in similar manners, The Manual of Forensic Taphonomy, Second Edition will be invaluable to a broad set of forensic and investigative disciplines.
Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding surgical disciplines. The book is based on several years of the authors' teaching and research experience. Both authors have initiated and lead a variety of interdisciplinary projects involving computer scientists and medical doctors, primarily radiologists and surgeons.* A core field of visualization and graphics missing a dedicated book until now* Written by pioneers in the field and illustrated in full color* Covers theory as well as practice
This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2015, held in banff, AB, Canada in October 2015. The 16 long and 12 short papers presendted together with 4 invited talks in this volume were carefully reviewed and selected from 44 submissions. The combination of recent advances in the development and analysis of methods for discovering scienti c knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scienti c domains, on the one hand, with the algorithmic advances in machine learning theory, on the other hand, makes every instance of this joint event unique and attractive.
This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 6 full papers presented at CVII-STENT 2017 and the 11 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.