书目名称 | Computer Vision for X-Ray Testing |
副标题 | Imaging, Systems, Im |
编辑 | Domingo Mery,Christian Pieringer |
视频video | http://file.papertrans.cn/235/234080/234080.mp4 |
概述 | Presents a focus on the most important real-world applications of X-ray testing.Updated edition featuring new material on deep learning, simulation approaches, and dual energy X-ray images.Includes nu |
图书封面 |  |
描述 | [FIRST EDITION] 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 2021Latest edition |
关键词 | Algorithms; Computer Vision; Image Analysis; Image Processing; Non-Destructive Testing; Pattern Recogniti |
版次 | 2 |
doi | https://doi.org/10.1007/978-3-030-56769-9 |
isbn_softcover | 978-3-030-56771-2 |
isbn_ebook | 978-3-030-56769-9 |
copyright | Springer Nature Switzerland AG 2021 |