图像分割在老画保护修复中的损失检测

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI:10.1109/ATIT50783.2020.9349254

Roman A. Mykolaichuk, Vladyslav Lavrynovych, A. Mykolaichuk, Tetiana Tymchenko, Iryna Somyk-Ponomarenko

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引用次数: 0

摘要

老画的特点通常是有破损的地方。本文介绍了利用图像处理技术、图像分割技术和卷积神经网络对老画破损部位进行检测的技术和方法。模型预测结果的分析使我们能够估计技术和技术的有效性，在本研究中应用于自动损失估计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Image Segmentation in Loss Detection for Conservation and Restoration of Old Paintings

Old paintings are usually characterized by presence of damaged areas. This article presents technologies and methods for detection of the loss on old paintings using image processing, image segmentation techniques, and convolutional neural network for detection of damaged parts on painting. Analysis of model prediction results allows us to estimate the effectiveness of techniques and technologies, applied in this research in automated loss estimation.

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2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)

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