Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding
Author
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The detection of cracks is a crucial task in monitoring structural health and ensuring structural safety.
The manual process of crack detection is painstakingly time-consuming and suffers from subjective judgments of inspectors.
This study establishes an intelligent model based on image processing techniques for automatic crack recognition and analyses.
In the new model, a gray intensity adjustment method, called Min-Max Gray Level Discrimination (M2GLD), is proposed to preprocess the image thresholded by the Otsu method.
The goal of this gray intensity adjustment method is to meliorate the accuracy of the crack detection results.
Experimental results point out that the integration of M2GLD and the Otsu method, followed by other shape analysis algorithms, can successfully detect crack defects in digital images.
Therefore, the constructed model can be a useful tool for building management agencies and construction engineers in the task of structure maintenance.
American Psychological Association (APA)
Hoang, Nhat-Duc. 2018. Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1115902
Modern Language Association (MLA)
Hoang, Nhat-Duc. Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding. Advances in Civil Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1115902
American Medical Association (AMA)
Hoang, Nhat-Duc. Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1115902
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1115902