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UID:pretalx-euroscipy-2026-E3X9EX@pretalx.com
DTSTART;TZID=CET:20260721T093000
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DESCRIPTION:In the field of non-destructive testing\, the French Alternativ
 e Energies and Atomic Energy Commission (CEA) entrusted CODRA with the spe
 cification and development of software for the automatic reconstruction of
  radiographic scenes from partial X-ray images.\n\nThe challenge was to as
 semble a full-field X-ray scene from multiple acquisitions obtained by mov
 ing a detector or juxtaposing imaging plates\, without any prior metadata 
 regarding position\, orientation\, or magnification.\n\nThe reconstruction
  processing pipeline includes several key steps:\n\n- image pre-processing
  and denoising\,\n- robust blob detection\,\n- homography estimation for g
 eometric correction\,\n- fusion of corrected sub-images into a coherent gl
 obal scene.\n\nThe entire workflow was developed using open-source scienti
 fic Python libraries (NumPy\, SciPy\, scikit-image\, OpenCV) and prototype
 d interactively with [**DataLab**](https://datalab-platform.com)\, an open
 -source platform for signal and image processing. [DataLab](https://datala
 b-platform.com) was remotely controlled to dynamically visualize intermedi
 ate results\, tune parameters\, and validate geometric transformations ste
 p by step.\n\nThis project illustrates how the scientific Python ecosystem
  enables the development of industrial-grade imaging software\, from inter
 active prototyping to automated deployment\, using 100% open-source compon
 ents.
DTSTAMP:20260603T195631Z
LOCATION:Room 1.19 (Ground Floor\, Shannon)
SUMMARY:Automatic Reconstruction of X-ray Scenes with Python and DataLab - 
 Pierre Raybaut\, Marc Rabec le Gloahec
URL:https://pretalx.com/euroscipy-2026/talk/E3X9EX/
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