Exploring the use of image processing to survey and quantitatively assess historic buildings

Gonzalez Manich, C. and Kelman, T. and Coutts, F. and Qiu, B. and Murray, P. and Gonzalez-Longo, C. and Marshall, S.; Van Balen, Koen and Verstrynge, Els, eds. (2016) Exploring the use of image processing to survey and quantitatively assess historic buildings. In: Structural Analysis of Historical Constructions: Anamnesis, Diagnosis, Therapy, Controls. CRC Press, BEL. ISBN 9781138029514

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Abstract

Before architectural conservation takes place, a survey is conducted to assess the condition of the building and estimate the cost of the work. For façades, scaffolding is erected so that experts can access the building’s whole extent and gather data for analysis. This paper presents the results of a collaborative and cross-disciplinary research project aiming to automate data capture and analysis techniques for conservation of stone façades. Our research demonstrates the feasibility of a new methodology for the survey and assessment of historic buildings and will facilitate frequent surveys with minimal disruption to the general public in cities. The project has embedded architects’ expert knowledge into intelligent algorithms for automatically analysing images of facades. The combination of technologies allows for an efficient data capture while minimising the requirement for manual data analysis as well as more accurate estimates of its cost.

ORCID iDs

Gonzalez Manich, C. ORCID: https://orcid.org/0000-0001-7508-493X

Kelman, T. ORCID: https://orcid.org/0000-0003-3681-1879

Coutts, F. ORCID: https://orcid.org/0000-0003-2299-2648

Qiu, B. ORCID: https://orcid.org/0000-0002-2536-4981

Murray, P. ORCID: https://orcid.org/0000-0002-6980-9276

Gonzalez-Longo, C. ORCID: https://orcid.org/0000-0001-7522-0380

Marshall, S. ORCID: https://orcid.org/0000-0001-7079-5628

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• Item metadata

  Item type:	Book Section
  ID code:	56804
  Dates:	Date Event 16 August 2016 Published 2 March 2016 Accepted
  Subjects:	Fine Arts > Architecture
  Department:	Faculty of Engineering > Architecture Faculty of Engineering > Electronic and Electrical Engineering Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	30 Jun 2016 15:52
  Last modified:	11 Nov 2024 15:03
  Related URLs:	Event Publisher
  URI:	https://strathprints.strath.ac.uk/id/eprint/56804