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An Operational Application of Automatic Feature Extraction: The Measurement of Cracks in Concrete Structures
Author(s) -
Dare Paul,
Hanley Harry,
Fraser Clive,
Riedel Björn,
Niemeier Wolfgang
Publication year - 2002
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/0031-868x.00198
Subject(s) - computer science , term (time) , feature extraction , feature (linguistics) , sample (material) , deformation (meteorology) , artificial intelligence , geology , linguistics , philosophy , physics , chemistry , oceanography , chromatography , quantum mechanics
An understanding of the evolution of cracks in concrete structures due to long term natural deformation is important to civil engineers, but quantitative measurements can be difficult to make. However, digital imaging offers a potential solution. This short paper illustrates the operational application of automated image processing techniques for accurate, multi‐temporal crack measurements. The first part of this paper provides an overview of automatic feature extraction, essential for automatic crack detection. The latter part describes the methods developed for detecting and measuring cracks. Due to the long term nature of the application, operational results have yet to be finalised, although sample results are presented