arXiv Computer Vision September 2, 2026 By Hristo Valtchanov, Nicolas Pich\'e, Vladimir Brailovski, Justin Byers, Catherine D\'esrosiers, Fran\c{c}ois Guibault

Accurate Reconstruction of Gas Turbine Blade Geometry Using 3D/2D Rigid Registration and CT View Optimization

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This study introduces a multipart 3D‑2D rigid registration method that aligns CAD models of gas turbine blades with X‑ray projections, offering an alternative to traditional CT reconstruction for inspecting complex internal structures. The greedy registration algorithm first aligns the blade’s exterior, then its internal components by maximizing mutual information, while a separate greedy approach optimizes view angles to minimize dimensional measurement errors. The method achieves sub‑pixel registration accuracy, with errors below one‑fifth of the magnified detector‑pixel pitch, and remains robust to image noise and defects when appropriate view selection is applied.

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