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

Manich, C. Gonzalez; Kelman, Timothy; Coutts, Fraser K.; Qiu, Bingcheng; Murray, Paul; Gonzalez-Longo, Cristina; Marshall, Stephen

doi:10.1201/9781315616995-15

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…This technique has been implemented in multiple areas such medicine, automation, security, and defence [79]. In recent years, this technique has been adopted in the architecture field for identifying different materials and defects such as in stone masonry facades.…”

Section: Digital Image Processing (Dip)mentioning

confidence: 99%

“…In recent years, this technique has been adopted in the architecture field for identifying different materials and defects such as in stone masonry facades. This work is based on image processing software, which contains algorithms capable of classifying the stone anomalies [79]. At this stage of image processing, more accuracy is needed.…”

Section: Digital Image Processing (Dip)mentioning

confidence: 99%

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Critical Analysis about Emerging Technologies for Building’s Façade Inspection

2021

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The diagnosis of the building’s façades pathology is extremely important to support rational and technically informed decisions regarding maintenance and rehabilitation actions. With a reliable diagnosis, the probable causes of the anomalies can be correctly identified, and the correction measures adopted can be more compatible with the existing elements, promoting the durability of the façades. Visual inspection is the most common approach to identify anomalies in a building’s façade and, in many cases, this technique is sufficient to support the decision to intervene. However, the pathological phenomenon is complex, and the anomalies observed may indicate the presence of other defects, or some anomalies may not be visible in a simple visual observation. This study intends to discuss the application of emerging technologies on the diagnosis and anamneses of building’s façade, in order to automatise the collection of reliable on-site data and, thus, reduce the uncertainty of the diagnosis. The use of these techniques can help existing inspection methodologies, already tested, based mainly on the visual assessment of the buildings’ elements degradation condition.

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Section: Digital Image Processing (Dip)mentioning

confidence: 99%

Section: Digital Image Processing (Dip)mentioning

confidence: 99%