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Titlebook: Image Registration; Principles, Tools an A. Ardeshir Goshtasby Book 2012 Springer-Verlag London Limited 2012 Feature Extraction and Selecti

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书目名称Image Registration
副标题Principles, Tools an
编辑A. Ardeshir Goshtasby
视频video
概述Reviews a vast array of tools and methods, describing the underlying principles and comparing their performances.Includes a glossary, an extensive list of references, and an appendix on principal comp
丛书名称Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: Image Registration; Principles, Tools an A. Ardeshir Goshtasby Book 2012 Springer-Verlag London Limited 2012 Feature Extraction and Selecti
描述This book presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. The book begins by identifying the components of a general image registration system, and then describes the design of each component using various image analysis tools. The text reviews a vast array of tools and methods, not only describing the principles behind each tool and method, but also measuring and comparing their performances using synthetic and real data. Features: discusses similarity/dissimilarity measures, point detectors, feature extraction/selection and homogeneous/heterogeneous descriptors; examines robust estimators, point pattern matching algorithms, transformation functions, and image resampling and blending; covers principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods; includes a glossary, an extensive list of references, and an appendix on PCA.
出版日期Book 2012
关键词Feature Extraction and Selection; Image Resampling and Blending; Point Detectors and Descriptors; Point
版次1
doihttps://doi.org/10.1007/978-1-4471-2458-0
isbn_softcover978-1-4471-5799-1
isbn_ebook978-1-4471-2458-0Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer-Verlag London Limited 2012
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Advances in Computer Vision and Pattern Recognitionhttp://image.papertrans.cn/i/image/461457.jpg
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978-1-4471-5799-1Springer-Verlag London Limited 2012
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Similarity and Dissimilarity Measures,res and lists the requirements for them to be metrics. In addition to the existing similarity and dissimilarity measures, 3 new similarity measures and 1 new dissimilarity measure are introduced. The performances of 16 similarity measures and 10 dissimilarity measures in image matching are determine
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Point Detectors,of a number of popular point detectors are determined and compared. In addition, their sensitivities to noise, blurring, and intensity and geometric changes are measured and compared. Correlation-based, edge-based, model-based, uniqueness-based, curvature-based, Laplacian-based, gradient-based, Houg
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