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Article

Image-Based Delineation and Classification of Built Heritage Masonry

1
Fundación Zain Fundazioa, Vitoria-Gasteiz 01006, Spain
2
Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, San Sebastian 20018, Spain
3
IKERBASQUE, Basque Foundation for Science, Bilbao 48011, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2014, 6(3), 1863-1889; https://0-doi-org.brum.beds.ac.uk/10.3390/rs6031863
Received: 20 December 2013 / Revised: 6 February 2014 / Accepted: 10 February 2014 / Published: 28 February 2014
Fundación Zain is developing new built heritage assessment protocols. The goal is to objectivize and standardize the analysis and decision process that leads to determining the degree of protection of built heritage in the Basque Country. The ultimate step in this objectivization and standardization effort will be the development of an information and communication technology (ICT) tool for the assessment of built heritage. This paper presents the ground work carried out to make this tool possible: the automatic, image-based delineation of stone masonry. This is a necessary first step in the development of the tool, as the built heritage that will be assessed consists of stone masonry construction, and many of the features analyzed can be characterized according to the geometry and arrangement of the stones. Much of the assessment is carried out through visual inspection. Thus, this process will be automated by applying image processing on digital images of the elements under inspection. The principal contribution of this paper is the automatic delineation the framework proposed. The other contribution is the performance evaluation of this delineation as the input to a classifier for a geometrically characterized feature of a built heritage object. The element chosen to perform this evaluation is the stone arrangement of masonry walls. The validity of the proposed framework is assessed on real images of masonry walls. View Full-Text
Keywords: automatic masonry delineation; built heritage analysis; image processing; probabilisticHough transform; classifier; fine-grained visual categorization; feature selection automatic masonry delineation; built heritage analysis; image processing; probabilisticHough transform; classifier; fine-grained visual categorization; feature selection
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MDPI and ACS Style

Oses, N.; Dornaika, F.; Moujahid, A. Image-Based Delineation and Classification of Built Heritage Masonry. Remote Sens. 2014, 6, 1863-1889. https://0-doi-org.brum.beds.ac.uk/10.3390/rs6031863

AMA Style

Oses N, Dornaika F, Moujahid A. Image-Based Delineation and Classification of Built Heritage Masonry. Remote Sensing. 2014; 6(3):1863-1889. https://0-doi-org.brum.beds.ac.uk/10.3390/rs6031863

Chicago/Turabian Style

Oses, Noelia, Fadi Dornaika, and Abdelmalik Moujahid. 2014. "Image-Based Delineation and Classification of Built Heritage Masonry" Remote Sensing 6, no. 3: 1863-1889. https://0-doi-org.brum.beds.ac.uk/10.3390/rs6031863

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