Radiographic inspection, defects segmentation, and multiscale analysis

Mireille Lefevre; Francoise J. Preteux; Blandine Lavayssiere

doi:10.1117/12.179184

30 June 1994 Radiographic inspection, defects segmentation, and multiscale analysis

Mireille Lefevre, Francoise J. Preteux, Blandine Lavayssiere

Proceedings Volume 2300, Image Algebra and Morphological Image Processing V; (1994) https://doi.org/10.1117/12.179184
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

In radiographic inspection used by Electricite De France (EDF) for pipe control in nuclear power plants, pipe radiographs are digitized according to a well-defined protocol. The aim of EDF consists of developing a non-destructive testing system for identifying defects. In this paper, we propose an approach based on a multiscale analysis allowing to achieve simultaneously defect-enhancement and noise-filtering and leading to accurate defects segmentation using mathematical morphology. The principle consists of defining a one- parameter family of operators which are successively applied to the digitized images, after drift-removal. Equivalently, the multiscale analysis can be expressed as the solution of an evolution equation, whose analytical form is conditioned by the specific properties of the operators (e.g., mean curvature motion, affine scale-space). This results in a family of images with increasing smoothness and consistent edge preservation.

Citation Download Citation

Mireille Lefevre, Francoise J. Preteux, and Blandine Lavayssiere "Radiographic inspection, defects segmentation, and multiscale analysis", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179184

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