Abstract
In order to evaluate the performance of computer vision techniques, computer simulation can be a useful tool. In this chapter we review some basic concepts 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 automated defect recognition). The chapter also has some Matlab examples that the reader can run and follow, along with examples of simulated defects in castings and welds.
Cover image: X-ray image of a wood located in 1, 4, 6, 36, 72 and 180 positions (image N0010_0051 colored with ‘hot’ colormap).
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Notes
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- 2.
In this example we used the Matlab code for mesh voxelization available on http://www.mathworks.com/matlabcentral/fileexchange/27390-mesh-voxelisation.
- 3.
These pixels are defined where \(B^2-4AC > 0\) in Eq. (7.33).
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Mery, D. (2015). Simulation in X-ray Testing. In: Computer Vision for X-Ray Testing. Springer, Cham. https://doi.org/10.1007/978-3-319-20747-6_7
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DOI: https://doi.org/10.1007/978-3-319-20747-6_7
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