Inscription Segmentation Using Synthetic Inscription Images for Text Detection at Stone Monuments

Author:

Morita Naoto,Inoue Ryunosuke,Yamada MasashiORCID,Naka TakatoshiORCID,Kanematsu AtsukoORCID,Miyazaki ShinyaORCID,Hasegawa JunichiORCID

Publisher

Springer International Publishing

Reference22 articles.

1. Badrinarayanan, V., Kendall, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(12), 2481–2495 (2017)

2. Baek, Y., Lee, B., Han, D., Yun, S., Lee, H.: Character region awareness for text detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2019

3. Bhat, S., Seshikala, G.: Restoration of characters in degraded inscriptions using phase based binarization and geodesic morphology. Int. J. Recent Technol. Eng. 7(6), 1070–1075 (2019)

4. Chen, L., Papandreou, G., Schroff, F., Adam, H.: Rethinking atrous convolution for semantic image segmentation. CoRR abs/1706.05587 (2017). http://arxiv.org/abs/1706.05587

5. Han, D., Kim, J., Kim, J.: Deep pyramidal residual networks. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6307–6315 (2017)

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