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Image Processing, Analysis, and Machine Vision
This comprehensive book provides deep and wide coverage of the full range of topics encountered in the dynamic field of image processing and machine vision. You'll find the book to be especially strong and up-to-date in its treatment of 3D vision, with many topics that competing books ignore. The book is also distinguished by the way the authors use easy-to-understand algorithms to explain difficult concepts and offer a wealth of carefully selected problems and examples that can work with any general-purpose image processing package.
Medical Biometrics
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Image Processing, Analysis, and Machine Vision
This robust text provides deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.
Medical Image Analysis
Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. Provides an authoritative description of key concepts and methods Includes tutorial-based sections that clearly explain principles and their application to different medical domains Presents a representative selection of topics to match a modern and relevant approach to medical image computing
Graph-Based Representations in Pattern Recognition
This book constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009. The 37 revised full papers presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on graph-based representation and recognition, graph matching, graph clustering and classification, pyramids, combinatorial maps, and homologies, as well as graph-based segmentation.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006
The two-volume set LNCS 4190 and LNCS 4191 constitute the refereed proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006. The program committee carefully selected 39 revised full papers and 193 revised poster papers for presentation in two volumes. This first volume includes 114 contributions related to bone shape analysis, robotics and tracking, segmentation, analysis of diffusion tensor MRI, and much more.
Medical Imaging Systems Techniques and Applications
First Published in 2004. This is Volume I of six of a series on medical imaging systems techniques and applications. This subject area exemplifies a meaningful manifestation of the power of the technologies of the second industrial revolution. The first chapter in this volume on cardiovascular systems emphasizes the importance of accurate measurements of cardiac shape and dynamics as they reflect the scope of cardiac diseases, the major cause of mortality in developed countries today. Cardiac imaging plays an important role in this regard, and almost the only one in this clinical context.
Medical Imaging Systems Techniques and Applications: Cardiovascular systems
First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.
Information Processing in Medical Imaging
This book constitutes the refeered proceedings of the 18th Interational Conference on Information Processing in Medical Imaging, IPMI 2003, held in UK, in July 2003. The 57 revised full papers presented were carefully reviewed and selected from submissions. The papers are organized in topical sections shape modeling, shape analysis, segmentation, color, performance characterization, registration and modeling similarity, registration and modeling deformation, cardiac motion, fMRI analysis, and diffusion imaging and tractography.
