Stone-by-Stone Segmentation for Monitoring Large Historical Monuments Using Deep Neural Networks

机译：使用深神经网络监测大型历史纪念碑的石头分割

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Monitoring and restoration of cultural heritage buildings require the definition of an accurate health record. A critical step is the labeling of the exhaustive constitutive elements of the building. Stone-by-stonc segmentation is a major part. Traditionally it is done by visual inspection and manual drawing on a 2D orthomosaic. This is an increasingly complex, time-consuming and resource-intensive task. In this paper, algorithms to perform stone-by-stone segmentation automatically on large cultural heritage building are presented. Two advanced convolutional neural networks are tested and compared to conventional edge detection or thresholding methods on image dataset from Loire Valley's chateaux: Chateau de Chambord and Chateau de Chaumont-sur-Loire, two castles of Renaissance style. The results show the applicability of the methods to the historical buildings of the Renaissance style.

机译：文化遗产建筑的监测和修复需要定义准确的健康记录。关键步骤是建筑物的详尽构成元素的标记。逐步分割是一个主要部分。传统上，它是通过在2D正交的视觉检查和手动绘制来完成的。这是一个越来越复杂，耗时和资源密集的任务。在本文中，提出了在大型文化遗产建筑上自动执行石头分割的算法。测试了两个先进的卷积神经网络，并与来自Loire Valley的Chateaux的图像数据集上的传统边缘检测或阈值方法进行了测试：Chateau de Chambord和Chateau de Chaumont-sur-Loire，复兴风格的两个城堡。结果表明，该方法适用于文艺复兴风格的历史建筑物。

著录项

来源
《International Conference on Pattern Recognition Workshops》|2021年|235-248|共14页
会议地点
作者
Koubouratou Idjaton; Xavier Desquesnes; Sylvie Treuillet; Xavier Brunetaud;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
Cultural heritage; Orthomosaic; Semantic segmentation; Transfer learning; Image processing;

机译：文化遗产;orthomosaic;语义细分;转移学习;图像处理;

相似文献

外文文献
中文文献
专利

1. Combination of deep neural networks and logical rules for record segmentation in historical handwritten registers using few examples [J] . Tarride Solene, Lemaitre Aurelie, Couasnon Bertrand, International Journal on Document Analysis and Recognition . 2021,第1a2期

机译：利用少数例子，历史手写寄存器中录制分割的深度神经网络和逻辑规则的组合
2. Quality grading of jujubes using composite convolutional neural networks in combination with RGB color space segmentation and deep convolutional generative adversarial networks [J] . Guo Zhongyuan, Zheng Hong, Xu Xiaohang, Journal of food process engineering . 2021,第2期

机译：使用复合卷积神经网络与RGB彩色空间分割和深卷积生成对抗网络相结合的枣的质量分级
3. Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing [J] . Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Image Processing, IET . 2018,第11期

机译：使用弱监督卷积神经网络进行图像分割的空间不确定性：以历史地图处理为例
4. Long Life Monitoring of Historical Monuments via Wireless Sensors Network [C] . D. Abruzzese, M. Angelaccio, B. Buttarazzi, International Symposium on Wireless Communication Systems . 2009

机译：通过无线传感器网络历史历史纪念碑的长寿监测
5. Plant Segmentation by Supervised Machine Learning Methods and Phenotypic Trait Extraction of Soybean Plants Using Deep Convolutional Neural Networks with Transfer Learning [D] . Adams, Jason R. 2020

机译：植物分割通过深度卷积神经网络与转移学习的豆豆植物的植物分割和表型特性
6. A Monitoring System for the Segmentation and Grading of Broccoli Head Based on Deep Learning and Neural Networks [O] . Chengquan Zhou, Jun Hu, Zhifu Xu, 2020

机译：基于深度学习和神经网络的西兰花头分割与分级监控系统
7. Combination of deep neural networks and logical rules for record segmentation in historical handwritten registers using few examples [O] . Solène Tarride, Aurélie Lemaitre, Bertrand Coüasnon, 2021

机译：少数例子中历史手写寄存器中历史寄存器中录制细分的逻辑规则的组合

Stone-by-Stone Segmentation for Monitoring Large Historical Monuments Using Deep Neural Networks

摘要

著录项

相似文献

相关主题

期刊订阅