By Domingo Mery
This obtainable textbook offers an creation to computing device imaginative and prescient algorithms for industrially-relevant functions of X-ray trying out. gains: introduces the mathematical heritage for monocular and a number of view geometry; describes the most thoughts for photo processing utilized in X-ray trying out; offers a variety of various representations for X-ray pictures, explaining how those let new beneficial properties to be extracted from the unique picture; examines a variety of identified X-ray snapshot classifiers and category ideas; discusses a few simple thoughts for the simulation of X-ray photos and offers easy geometric and imaging types that may be utilized in the simulation; reports various purposes for X-ray trying out, from business inspection and luggage screening to the standard regulate of ordinary items; presents assisting fabric at an linked site, together with a database of X-ray photos and a Matlab toolbox to be used with the book’s many examples.
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Extra resources for Computer Vision for X-Ray Testing: Imaging, Systems, Image Databases, and Algorithms
36(6), 784–796 (2006) 32. : Elements of X-ray Diffraction. Pearson, New Jersey (2001) 32 1 X-ray Testing 33. : Tables of X-ray mass attenuation coefficients and mass energyabsorption coefficients from 1 keV to 20 MeV for elements Z = 1 to 92 and 48 additional substances of dosimetric interest. cfm (1996) 34. : Dual-energy X-ray imaging: benefits and limits. Insight-Non-Destr. Test. Cond. Monit. 49(10), 589–594 (2007) 35. : Explosives detection systems (EDS) for aviation security. Signal Process.
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NDT & E Int. 36(8), 587–599 (2003) 47. : Automated detection in complex objects using a tracking algorithm in multiple X-ray views. In: Proceedings of the 8th IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum (OTCBVS 2011), in Conjunction with CVPR 2011, pp. 41–48. Colorado Springs (2011) 48. : Robust real-time object detection. Int. J. Comput. Vis. 57(2), 137–154 (2004) 49. : Histograms of oriented gradients for human detection. Conf. Comput. Vis. Pattern Recognit.
Computer Vision for X-Ray Testing: Imaging, Systems, Image Databases, and Algorithms by Domingo Mery