An Automatic Image Processing Algorithm Based on Crack Pixel Density for Pavement Crack Detection and Classification

Nowadays, there is a massive necessity to develop fully automated and efficient distress assessment systems to evaluate pavement conditions with the minimum cost. Due to having complex training processes, most of the current supervised learning-based practices in this area are not suitable for small...

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Bibliographic Details
Published in:	International journal of pavement research & technology Vol. 15; no. 1; pp. 159 - 172
Main Authors:	Safaei, Nima, Smadi, Omar, Masoud, Arezoo, Safaei, Babak
Format:	Journal Article
Language:	English
Published:	Singapore Springer Singapore 01.01.2022 Springer Nature B.V
Subjects:	Algorithms Asphalt Bituminous cements Building Construction and Design Civil Engineering Cracks Engineering Flaw detection Image classification Image processing Minimum cost Original Research Paper Pavements Pixels Portland cements Spatial distribution Structural Materials Systems analysis Tiles Pavement management system Image processing Crack detection and classification Adaptive thresholding
ISSN:	1996-6814, 1997-1400
Online Access:	Get full text
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