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Titlebook: Computer Vision for X-Ray Testing; Imaging, Systems, Im Domingo Mery Textbook 20151st edition Springer International Publishing Switzerland

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發(fā)表于 2025-3-21 18:32:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer Vision for X-Ray Testing
副標(biāo)題Imaging, Systems, Im
編輯Domingo Mery
視頻videohttp://file.papertrans.cn/235/234081/234081.mp4
概述Presents a focus on the most important real-world applications of X-ray testing.Includes numerous Matlab examples to enable readers to build their own code.Provides a Matlab toolbox, a database of X-r
圖書封面Titlebook: Computer Vision for X-Ray Testing; Imaging, Systems, Im Domingo Mery Textbook 20151st edition Springer International Publishing Switzerland
描述This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing.?Features: introduces the mathematical background for monocular and multiple view geometry; describes the main techniques for image processing used in X-ray testing; presents a range of different representations for X-ray images, explaining how these enable new features to be extracted from the original image; examines a range of known X-ray image classifiers and classification strategies; discusses some basic concepts for the simulation of X-ray images and presents simple geometric and imaging models that can be used in the simulation; reviews a variety of applications for X-ray testing, from industrial inspection and baggage screening to the quality control of natural products; provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book’s many examples.
出版日期Textbook 20151st edition
關(guān)鍵詞Algorithms; Computer Vision; Image Analysis; Image Processing; Matlab; Non-Destructive Testing; Pattern Re
版次1
doihttps://doi.org/10.1007/978-3-319-20747-6
isbn_softcover978-3-319-37202-0
isbn_ebook978-3-319-20747-6
copyrightSpringer International Publishing Switzerland 2015
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沙發(fā)
發(fā)表于 2025-3-21 23:51:21 | 只看該作者
https://doi.org/10.1007/978-1-4612-6228-2. The images are organized in a public database called .ray that can be used free of charge, but for research and educational purposes only. The database includes five groups of X-ray images: castings, welds, baggage, natural objects, and settings. Each group has several series, and each series seve
板凳
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The Dense Interstellar Medium in Galaxiese view geometry which is normally used in X-ray computer vision systems. The chapter describes an explicit model which relates the 3D coordinates of an object to the 2D coordinates of the digital X-ray image pixel, the calibration problem, the geometric and algebraic constraints between two, three,
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Springer Proceedings in Physicsthat new features are extracted from the original image that can give us more information than the raw information expressed as a matrix of gray values. This kind of information is extracted as features or descriptors, i.e., a set of values, that can be used in pattern recognition problems such as o
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S. C. Chapman,A. Blain,R. Ivison,I. Smailcepts of the simulation of X-ray images, and present simple geometric and imaging models that can be used in the simulation. We explain the basic simulation principles and we address some techniques of simulated defects (that can be used to assess the performance of a computer vision method for auto
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