Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Digital Image Watermarking Using Sine Transform Technique Read chapter Read first chapter

2019 | OriginalPaper | Chapter

An Improved Image Pre-processing Method for Concrete Crack Detection

Authors : Harsh Kapadia, Ripal Patel, Yash Shah, J. B. Patel, P. V. Patel

Published in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Structure health monitoring of concrete structures has gained more attention in the recent years due to advancement in the technology. Different methods like acoustic, ultrasonic and image processing based inspection methods have been deployed to carry out an assessment of concrete structure. In this paper, work has been carried out to monitor the health of laboratory scale concrete objects using vision-based inspection. The objective is to provide a modified image pre-processing algorithms for accurate concrete crack detection. Different image processing based algorithms reviewed from existing literature were implemented and tested to detect cracks on the surface of a 15 × 15 × 15 cm concrete cube. Due to random unevenness on the surface of concrete blocks, designing of an accurate and robust algorithm becomes difficult and challenging. Developed algorithm was applied to different images of concrete cubes. Receiver operating characteristics analysis and computation time analysis along with result images were discussed in the paper. In order to validate the applicability of developed algorithm, test results of crack detection on practical crack images are presented. Python was used to develop algorithm along with OpenCV library for image processing functions.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Structural Health Monitoring—An Integrated Approach for Vibration Analysis with Wireless Sensors to Steel Structure Using Image Processing
next chapter Grape Crop Disease Classification Using Transfer Learning Approach
Literature
1.
Cheng C-C, Cheng T-M, Chiang C-H (2008) Defect detection of concrete structures using both infrared thermography and elastic waves. Autom Concr, pp 87–92
2.
Adhikari RS, Moselhi O, Bagchi A (2014) Image-based retrieval of concrete crack properties for bridge inspection. Autom Constr 39:180–194CrossRef
3.
Koch Christian, Georgieva Kristina, Kasireddy Varun, Akinci Burcu, Fieguth Paul (2015) A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure. Adv Eng Inform 29(2):196–210CrossRef
4.
Mohan A, Poobal S (2017) Crack detection using image processing: a critical review and analysis. Alexandria Eng J
5.
Lee BY, Kim YY, Yi S-T, Kim J-K (2013) Automated image processing technique for detecting and analyzing concrete surface cracks. Struct Infrastruct Eng 9(6):567–577CrossRef
6.
Xu H, Tian Y, Lin S, Wang S (2013) Research of image segmentation algorithm applied to concrete bridge cracks. In: International conference on information science and technology (ICIST). IEEE, pp 1637–1640
7.
Talab AMA, Huang Z, Xi F, HaiMing L (2016) Detection crack in image using Otsu method and multiple filtering in image processing techniques. Optik-Int J Light Electron Opt 127(3):1030–1033CrossRef
8.
Miyamoto A, Konno M-A, Bruhwiler E (2007) Automatic crack recognition system for concrete structures using image processing approach. Asian J Inf Technol Medwell J 6(5)
9.
Choudhary GK, Dey S (2012) Crack detection in concrete surfaces using image processing, fuzzy logic and neural network. In: IEEE fifth international conference on advanced computational intelligence (ICACI). Nanjing, Jiangsu, China
10.
Wang P, Huang H (2010) Comparison analysis on present image-based crack detection methods in concrete structure. In: 3rd international congress on image and signal processing (CISP). IEEE, pp 2530–2533
11.
Yamaguchi T, Nakamura S, Saegusa R, Hashimoto S (2008) Image based crack detection for real concrete surfaces. IEEJ Trans Electr Electron Eng 3(1):128–135CrossRef
12.
Fujita Y, Mitani Y, Hamamoto Y (2006) A method for crack detection on concrete structure. In: 18th international conference on pattern recognition ICPR. IEEE, pp 901–904
13.
Atsushi I, Aoki Y, Hashimoto S (2002) Accurate extraction and measurement of fine cracks from concrete block surface image. In: Proceedings of the 2002 28th annual conference of the ieee industrial electronics, pp 2202–2207
14.
Sharma A, and Mehta N (2016) Structural health monitoring using image processing techniques-a review. Int J Mod Comput Sci 4(4):93–97
15.
Tomasi C, Manduchi R. (1998) Bilateral filtering for gray and color images. In: Sixth international conference on computer vision, IEEE. pp 839–846
16.
17.
18.
Saxena LP (2017) “Niblack’s binarization method and its modifications to real-time applications: a review. Artif Intell Rev 1–33
19.
20.
Metadata
Title
An Improved Image Pre-processing Method for Concrete Crack Detection
Authors
Harsh Kapadia
Ripal Patel
Yash Shah
J. B. Patel
P. V. Patel
Copyright Year
2019
Book
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_149