NDLI: An Algorithm to Detect the Crack in the Tunnel Based on the Image Processing

Content Provider	IEEE Xplore Digital Library
Author	Dapeng Qi Yun Liu Xiaoyang Wu Zhenjiang Zhang
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China (Dapeng Qi; Yun Liu; Xiaoyang Wu; Zhenjiang Zhang)
Abstract	The safety is very important for urban rail transit. So it is the necessary to detect the crack of subway tunnel to keep the secure of the line. In traditional way, relevant staffs are asked to go into the tunnel to detect the crack by naked eye. But this method is too inefficiency to meet the actual demand. In this paper, we propose an algorithm to detect the crack based on the image processing. Compared with other algorithm, this algorithm simplifies the image pre-processing procedure, and use the block binaryzation to replace the traditional method of binaryzation. Then extraneous noisy pixels are removed from the image according to the differences of characteristics between noise and crack. Finally, crack can be detected automatically.
Starting Page	860
Ending Page	863
File Size	1043481
Page Count	4
File Format	PDF
e-ISBN	9781479953905
DOI	10.1109/IIH-MSP.2014.217
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-27
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Road transportation Algorithm design and analysis image processing Image processing Noise Signal processing algorithms Surface morphology Surface cracks crack detection noise removal
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Pavement Crack Detection and Analysis for High-grade Highway

Research on an Steganographic Algorithm Based on Image Edge

Design of Rail Surface Crack-detecting System Based on Linear CCD Sensor

CrackIT — An image processing toolbox for crack detection and characterization

A novel video image scaling algorithm based on morphological edge interpolation

Beamlet Transform Based Pavement Image Crack Detection

A novel crack detection algorithm of underwater dam image

Automatic Crack Detection and Segmentation Using a Hybrid Algorithm for Road Distress Analysis

Electrocardiogram QRS Detection Using Multiscale Filtering Based on Mathematical Morphology

An Algorithm to Detect the Crack in the Tunnel Based on the Image Processing

Similar Documents

Pavement Crack Detection and Analysis for High-grade Highway

Research on an Steganographic Algorithm Based on Image Edge

Design of Rail Surface Crack-detecting System Based on Linear CCD Sensor

CrackIT — An image processing toolbox for crack detection and characterization

A novel video image scaling algorithm based on morphological edge interpolation

Beamlet Transform Based Pavement Image Crack Detection

A novel crack detection algorithm of underwater dam image

Automatic Crack Detection and Segmentation Using a Hybrid Algorithm for Road Distress Analysis

Electrocardiogram QRS Detection Using Multiscale Filtering Based on Mathematical Morphology

An Algorithm to Detect the Crack in the Tunnel Based on the Image Processing