Abstract
The aim of this paper is to develop a set of algorithms for the automated construction of synthetic digital ground truth images from historic cosmic ray recordings. These images can subsequently be used to test data extraction algorithms. This takes place in a larger research context of an effort to retrieve and digitize the data contained within more than 20 years (1934–1956) of historic cosmic ray data from around the world. The creation of synthetic ground truth images can logically be broken down into component tasks, which can be approached individually. These tasks include: binarization, segmentation, as well as generation of optical artefacts and distortions. The approach and details of the algorithm are described.
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Mattana, V., Drevin, G., Roux, P. (2017). The Creation of Synthetic Digital Ground-Truth Images of Historic Cosmic Ray Data Recordings. In: Lamiroy, B., Dueire Lins, R. (eds) Graphic Recognition. Current Trends and Challenges. GREC 2015. Lecture Notes in Computer Science(), vol 9657. Springer, Cham. https://doi.org/10.1007/978-3-319-52159-6_2
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DOI: https://doi.org/10.1007/978-3-319-52159-6_2
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