Paper
29 October 2018 Image analysis and deep learning for aiding professional coin grading
Xingyu Pan, Laure Tougne
Author Affiliations +
Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 1083605 (2018) https://doi.org/10.1117/12.2500142
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China
Abstract
Coin grading means evaluating coins’ physical condition. In this paper, we proposed a process for coin grading by quantification of "unexpected elements" such as scratches and dirty marks. We detect respectively significant and tiny “unexpected elements” with the help of handcrafted filters and Deep Learning techniques. The result of our process, which is close to the manual expert one, is considered as a useful help for numismatists.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingyu Pan and Laure Tougne "Image analysis and deep learning for aiding professional coin grading", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083605 (29 October 2018); https://doi.org/10.1117/12.2500142
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Cited by 1 scholarly publication.
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KEYWORDS
Databases

Image analysis

Image segmentation

Binary data

Computing systems

Detection and tracking algorithms

Machine vision

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