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Chapter

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Title

Asphalt Surfaced Pavement Cracks Detection Based on Histograms of Oriented Gradients

Authors

[ 1 ] Katedra Inżynierii Komputerowej, Wydział Informatyki, Politechnika Poznańska | [ 2 ] Instytut Inżynierii Lądowej, Wydział Budownictwa i Inżynierii Środowiska, Politechnika Poznańska | [ P ] employee

Year of publication

2015

Chapter type

paper

Publication language

english

Keywords
EN
  • image processing
  • histograms of oriented gradients
  • pavement surface distress
  • single-type cracks detection
  • mesh cracking
Abstract

EN Cracks are the most requiring type of pavement distresses to detect and classify automatically. Due to its nature are easily absorbed by other types of pavement surface damages. Moreover, the diversity of pavement surface makes the image detection system requiring efficient computer algorithms. The paper presents the solutions tested on surface distress data which were collected automatically using downward facing cameras placed orthogonally to road pavement axis. Presented results focus on the crack-type pavement distresses. The achieved accuracy of the transverse, longitudinal and meshing cracks recognition based on the initial dataset prepared especially for this system, show it has very good chances to work efficiently with large image datasets collected during the inspection car runs.

Pages (from - to)

579 - 584

DOI

10.1109/MIXDES.2015.7208590

URL

https://ieeexplore.ieee.org/document/7208590

Book

22nd International Conference Mixed Design of Integrated Circuits & Systems (MIXDES 2015)

Presented on

22nd International Conference on Mixed Design of Integrated Circuits amd Systems, MIXDES 2015, 25-27.06.2015, Toruń, Polska

Publication indexed in

WoS (15)

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