NDLI: Fast concrete crack detection method via L2 sparse representation

Content Provider	IET Digital Library
Author	Wang, Baoxian Zhang, Quanle Zhao, Weigang
Abstract	A fast concrete crack detector based on L2 sparse representation is proposed. Specifically, via dividing the existing concrete images, many representative crack and non-crack image regions are selected for the over-complete dictionary. To suppress the noise disturbances, discrete cosine transformation is to extract the frequency-domain characteristics of these regions. For one new concrete image, it is first divided into many non-overlapping regions, and their sparse coefficients are fast computed on the established over-complete dictionary. Moreover then, a pooling operation is to extract the difference value between their sum coefficients on the crack templates and those on the non-crack ones, and easily yet effectively select the crack candidates via the sign bit of their difference values. Experiments on the practical concrete images show that the algorithm has high precision and efficiency.
Starting Page	752
Ending Page	754
Page Count	3
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 12, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.0412
Journal	Electronics Letters
Publisher Date	2018-05-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Civil And Mechanical Engineering Computing Computer Vision And Image Processing Technique Concrete Concrete Image Crack Candidates Crack Detection Crack Templates Cracks Difference Value Discrete Cosine Transform Discrete Cosine Transformation Existing Concrete Image Fast Concrete Crack Detection Method Fast Concrete Crack Detector Fracture Mechanics And Hardness Frequency Domain Analysis Frequency-domain Characteristic Image Classification Image Region Image Representation L2 Sparse Representation Mechanical Engineering Mechanical Engineering Application of IT Noise Disturbances Nonoverlapping Region Optical, Image And Video Signal Processing Over-complete Dictionary Practical Concrete Image Sparse Coefficient Structural Engineering
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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