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31 January 2020 Automated visual inspection algorithm for the reflection detection and removing in image sequences
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Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114332B (2020) https://doi.org/10.1117/12.2559362
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands
Abstract
Specular reflections are undesirable phenomena that can impair overall perception and subsequent image analysis. In this paper, we propose a modern solution to this problem, based on the latest achievements in this field. The proposed method includes three main steps: image enhancement, detection of specular reflections, and reconstruction of damaged areas. To enhance and equalize the brightness characteristics of the image, we use the alpha-rooting method with an adaptive choice of the optimal parameter-alpha. To detect specular reflections, we apply morphological filtering in the HSV color space. At the final stage, there is a reconstruction of damaged areas using adversarial neural networks. This combination makes it possible to quickly and effectively detect and remove specular reflections, which is confirmed by a series of experiments given by the experimental section of this work.
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Roman Sizyakin, Viacheslav Voronin, Nikolay Gapon, Alexey Nadykto, Aleksandra Pižurica, and Alexander Zelensky "Automated visual inspection algorithm for the reflection detection and removing in image sequences", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114332B (31 January 2020); https://doi.org/10.1117/12.2559362
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