Review and Analysis of Crack Detection and Classification Techniques based on Crack Types

Authors

  • Prof. Kanchan V. Warkar  M. Tech Department of Computer Science and Engineering, Bapurao Deshmukh College of Engineering, Sewagram, Maharashtra, India
  • Kalpana B. Lamsoge  M. Tech Department of Computer Science and Engineering, Bapurao Deshmukh College of Engineering, Sewagram, Maharashtra, India

Keywords:

Crack types, crack detection, crack classification, image processing, and machine learning.

Abstract

Cracks are highly widespread in buildings, bridges, roads, pavement, railway tracks, automobiles, tunnels, and planes in the real world. Because the presence of a crack reduces the value of civil infrastructure, it is vital to determine the severity of the fracture. Crack detection and classification techniques combined with quantitative analysis are essential for determining the severity of a crack. The length, width, and area are the different quantitative measures. The quantity of photos acquired for analysis is rapidly increasing as a result of rapid technological advancements. As a result, systems for automatically detecting and classifying cracks in civil infrastructure are critical. The following three goals are the subject of this paper: I A comparison of different crack detection and classification techniques based on crack kinds. (ii) Implementation of Otsu's based crack detection thresholding method (iii) Design of proposed system.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2021-04-30

Issue

Volume 8, Issue 2, November-December-2021

Section

Research Articles

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How to Cite

[1]
Prof. Kanchan V. Warkar, Kalpana B. Lamsoge "Review and Analysis of Crack Detection and Classification Techniques based on Crack Types " International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 2, pp.452-460, November-December-2021.