Deep-Learning-Based Bughole Detection for Concrete Surface Image
Joint Authors
Yang, Yang
Gang, Yao
Wei, Fujia
Sun, Yujia
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-16
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Bugholes are surface imperfections that appear as small pits and craters on concrete surface after the casting process.
The traditional measurement methods are carried out by in situ manual inspection, and the detection process is time-consuming and difficult.
This paper proposed a deep-learning-based method to detect bugholes on concrete surface images.
A deep convolutional neural network for detecting bugholes on concrete surfaces was developed, by adding the inception modules into the traditional convolution network structure to solve the problem of the relatively small size of input image (28 × 28 pixels) and the limited number of labeled examples in training set (less than 10 K).
The effects of noise such as illumination, shadows, and combinations of several different surface imperfections in real-world environments were considered.
From the results of image test, the proposed DCNN had an excellent bughole detection performance and the recognition accuracy reached 96.43%.
By the comparative study with the Laplacian of Gaussian (LoG) algorithm and the Otsu method, the proposed DCNN had good robustness which can avoid the interference of cracks, color-differences, and nonuniform illumination on the concrete surface.
American Psychological Association (APA)
Gang, Yao& Wei, Fujia& Yang, Yang& Sun, Yujia. 2019. Deep-Learning-Based Bughole Detection for Concrete Surface Image. Advances in Civil Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1117383
Modern Language Association (MLA)
Gang, Yao…[et al.]. Deep-Learning-Based Bughole Detection for Concrete Surface Image. Advances in Civil Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1117383
American Medical Association (AMA)
Gang, Yao& Wei, Fujia& Yang, Yang& Sun, Yujia. Deep-Learning-Based Bughole Detection for Concrete Surface Image. Advances in Civil Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1117383
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1117383