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Author Mery, D.; Riffo, V.; Zscherpel, U.; Mondragon, G.; Lillo, I.; Zuccar, I.; Lobel, H.; Carrasco, M.
Title GDXray: The Database of X-ray Images for Nondestructive Testing Type
Year 2015 Publication Journal Of Nondestructive Evaluation Abbreviated Journal J. Nondestruct. Eval.
Volume (down) 34 Issue 4 Pages 12 pp
Keywords X-ray testing; Datasets; X-ray images; Computer vision; Image analysis
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 GDXray 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 GDXray is 3.5 GB and it can be downloaded from our website. We believe that GDXray 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.
Address [Mery, Domingo; Riffo, Vladimir; Mondragon, German; Lillo, Ivan; Lobel, Hans] Pontificia Univ Catolica Chile, Dept Comp Sci, Santiago, Chile, Email: dmery@ing.puc.cl
Corporate Author Thesis
Publisher Springer/Plenum Publishers Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0195-9298 ISBN Medium
Area Expedition Conference
Notes WOS:000368028400013 Approved
Call Number UAI @ eduardo.moreno @ Serial 574
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