Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach
نویسندگان
چکیده
X-ray inspection of Carbon Fiber Reinforced Polymer (CFRP) is time consuming. With classical reconstruction methods, many projections of the object from different orientations are required to obtain high quality reconstructions of the interior fiber composition. In this work, we propose to reconstruct the interior of the CFRP samples with a Neural Network Filtered Backprojection (NN-FBP) method. This method combines several FBP reconstructions with specifically designed filters and is therefore able to reconstruct images from fewer projections with a similar image quality while maintaining a high reconstruction speed.
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