UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 11 Issue 6
June-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRGJ06048


Registration ID:
543851

Page Number

305-309

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Title

Road Crack Detection Based on Video Image Processing

Abstract

Multi The damage of road surface reduces its service life. In order to improve road maintenance and management efficiency, detection and recognition of pavement are studied based on video images in this paper. Firstly, we collect a large number of road surface images of 3 different conditions including transverse crack, longitudinal crack and turtle crack separately to construct road surface conditions library. Secondly, deal the road damaged image with gray, gray transform and image smoothing. Then, use mathematical morphology method to deal with crack image and projection to identify crack category. Finally, develop the pavement crack recognition software based on MATLAB. Selecting the pavement samples for experiment, the results show that this identification algorithm can accurately identify the category of crack.

Key Words

Road Crack Detection Based on Video Image Processing

Cite This Article

"Road Crack Detection Based on Video Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.305-309, June-2024, Available :http://www.jetir.org/papers/JETIRGJ06048.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Road Crack Detection Based on Video Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp305-309, June-2024, Available at : http://www.jetir.org/papers/JETIRGJ06048.pdf

Publication Details

Published Paper ID: JETIRGJ06048
Registration ID: 543851
Published In: Volume 11 | Issue 6 | Year June-2024
DOI (Digital Object Identifier):
Page No: 305-309
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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