Original paper

Autonomous damage segmentation and measurement of glazed tiles in historic buildings via deep learning

Volume: 35, Issue: 3, Pages: 277 - 291
Published: Aug 4, 2019
Abstract
Detecting and measuring the damage on historic glazed tiles plays an important role in the maintenance and protection of historic buildings. However, the current visual inspection method for identifying and assessing superficial damage on historic buildings is time and labor intensive. In this article, a novel two‐level object detection, segmentation, and measurement strategy for large‐scale structures based on a deep‐learning technique is...
Paper Details
Title
Autonomous damage segmentation and measurement of glazed tiles in historic buildings via deep learning
Published Date
Aug 4, 2019
Volume
35
Issue
3
Pages
277 - 291
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.