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GDXray: The Database of X-ray Images for Nondestructive Testing

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Abstract

In this paper, we present a new dataset consisting of 19,407 X-ray images. The images are organized in a public database called \(\mathbb {GDX}\)ray that can be used free of charge, but for research and educational purposes only. The database includes five groups of X-ray images: castings, welds, baggage, natural objects and settings. Each group has several series, and each series several X-ray images. Most of the series are annotated or labeled. In such cases, the coordinates of the bounding boxes of the objects of interest or the labels of the images are available in standard text files. The size of \(\mathbb {GDX}\)ray is 3.5 GB and it can be downloaded from our website. We believe that \(\mathbb {GDX}\)ray represents a relevant contribution to the X-ray testing community. On the one hand, students, researchers and engineers can use these X-ray images to develop, test and evaluate image analysis and computer vision algorithms without purchasing expensive X-ray equipment. On the other hand, these images can be used as a benchmark in order to test and compare the performance of different approaches on the same data. Moreover, the database can be used in the training programs of human inspectors.

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Notes

  1. See for example a good collection in http://www.via.cornell.edu/databases/.

  2. There are some galleries of X-ray images available on the web with a few samples, see for instance http://www.vidisco.com/ndt_solutions/ndt_info_center/ndt_x_ray_gallery with approximately 50 X-ray images.

  3. Grima, from Grupo de Inteligencia de Máquina, is the name of our Machine Intelligence Group at the Department of Computer Science of the Pontificia Universidad Católica de Chile http://grima.ing.puc.cl. The X-ray images included in \(\mathbb {GDX}\)ray can be used free of charge, for research and educational purposes only. Redistribution and commercial use is prohibited. Any researcher reporting results which use this database should acknowledge the \(\mathbb {GDX}\)ray database by citing this paper.

  4. See http://www.libpng.org/pub/png/.

  5. The X-ray images of series W0001 and W0003 are included in GDXray thanks to the collaboration of the BAM Federal Institute for Materials Research and Testing, Berlin, Germany http://dir.bam.de/dir.html.

  6. The original images in TIFF format are available also in series W0003 as files RRT01.zip (the first 31 images) and RRT02.zip (the last 36 images).

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Acknowledgments

Fondecyt Grant No. 1130934 from CONICYT–Chile.

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Authors and Affiliations

  1. Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile

    Domingo Mery, Vladimir Riffo, German Mondragón, Iván Lillo & Hans Lobel

  2. Departamento de Ingeniería Informática y Ciencias de la Computación–Universidad de Atacama, Copiapó, Chile

    Vladimir Riffo

  3. BAM Federal Institute for Materials Research and Testing, Berlin, Germany

    Uwe Zscherpel

  4. Departamento de Ingeniería Informática–Universidad de Santiago de Chile, Santiago, Chile

    Irene Zuccar

  5. Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Santiago, Chile

    Miguel Carrasco

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  1. Domingo Mery
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Correspondence to Domingo Mery.

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Mery, D., Riffo, V., Zscherpel, U. et al. GDXray: The Database of X-ray Images for Nondestructive Testing. J Nondestruct Eval 34, 42 (2015). https://doi.org/10.1007/s10921-015-0315-7

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