Image-Based Delineation of Built Heritage Masonry for Automatic Classification

  • Noelia Oses
  • Fadi Dornaika
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7950)


The development of new built heritage assessment protocols that objectivise and standardise the protection process has made it possible to start the work on the algorithms necessary to implement a built heritage analysis and classification ICT tool. The built heritage that will be assessed using these protocols consists of stone masonry constructions. 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. Many of the features analysed can be characterised geometrically and are often related to the arrangement of the construction blocks. This paper presents the ground work carried out to make this tool possible: the semi-automatic delineation of the masonry. The validity of this delineation will be shown using the classification results for the analysis of one of the elements assessed in the protocol for masonry bridges.


semi-automatic masonry delineation image processing classification built heritage analysis Hough Transform 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Noelia Oses
    • 1
  • Fadi Dornaika
    • 2
    • 3
  1. 1.Fundación Zain FundazioaVitoria-GasteizSpain
  2. 2.University of the Basque Country UPV/EHUSan SebastianSpain
  3. 3.IKERBASQUE, Basque Foundation for ScienceBilbaoSpain

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