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A detection and classification approach for underwater dam cracks

Author(s):



Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 5, v. 15
Page(s): 541-554
DOI: 10.1177/1475921716651039
Abstract:

Underwater dam crack detection and classification based on visible images is a challenging task. The underwater environment is very complex with uneven illumination and serious noise problems, which often leads to the distortion of detection. In addition, there are few methods suitable for underwater dam crack classification. To solve these problems, a novel underwater dam crack detection and classification approach is proposed. Firstly, a dodging algorithm is used to eliminate the uneven illumination in the underwater visible images. Subsequently, a crack detection approach is proposed, where the local characteristics of image blocks and the global characteristics of connected domains are both used based on the analysis of the statistical properties of dam crack images. Finally, an improved evidence theory-based crack classification algorithm is proposed after the crack detection. Experimental results show that the proposed approach is able to detect underwater dam cracks and classify them accurately and effectively in complex underwater environments.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/1475921716651039.
  • About this
    data sheet
  • Reference-ID
    10561982
  • Published on:
    11/02/2021
  • Last updated on:
    19/02/2021
 
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