Concrete Crack Detection by Multiple Sequential Image Filtering

:  This article presents a new robust automated image processing method for detecting cracks in surface images of concrete structures. This method involves two steps: (1) development of an image filter for detecting major cracks using genetic programming (GP), and (2) elimination of residual noise a...

Full description

Saved in:
Bibliographic Details
Published in:Computer-aided civil and infrastructure engineering 2012-01, Vol.27 (1), p.29-47
Main Authors: Nishikawa, Takafumi, Yoshida, Junji, Sugiyama, Toshiyuki, Fujino, Yozo
Format: Article
Language:English
Subjects:
Applied sciences
Building failures (cracks, physical changes, etc.)
Building structure
Buildings. Public works
Concrete structure
Construction (buildings and works)
Cracks
Derivatives
Durability. Pathology. Repairing. Maintenance
Exact sciences and technology
Filtering
Filtration
Flaw detection
Image filters
Image processing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary::  This article presents a new robust automated image processing method for detecting cracks in surface images of concrete structures. This method involves two steps: (1) development of an image filter for detecting major cracks using genetic programming (GP), and (2) elimination of residual noise after filtering and detection of indistinct cracks by iterative applications of the image filter to the local regions surrounding the cracks. The proposed method can be used for the accurate detection of cracks in surface images recorded under various conditions. Moreover, the widths of the detected cracks can be quantified on the basis of the spatial derivatives of the brightness patterns. The estimated crack widths are in good agreement with those measured manually.
ISSN:1093-9687
1467-8667
DOI:10.1111/j.1467-8667.2011.00716.x