Download PDFOpen PDF in browser

Review of Image Based Concrete Crack Detection

EasyChair Preprint no. 4726

6 pagesDate: December 9, 2020


Detection of cracks on concrete is very important for the renovation of concrete structures. Most of the infrastructures area unit composed of concrete. Moreover, tiny cracks that appear insignificant should grow and sooner or later cause extreme structural failure. Crack detection method is very important for quality of structure, however there are many difficulties in image-based crack detection for various reasons. This issue relates to the structural health and reliability, for that reason it ought to be resolved as early as feasible to avoid extra harm. It is fascinating to discover even the tiny cracks on concrete with the help of crack detection methods. Manual inspection lacks objectivity within the quantitative analysis. This paper discusses the various research works on the image based concrete crack detection. Accuracy, precision, recall and Fmeasure are key parameters to judge the authenticity of work.

Keyphrases: Accuracy, Concrete, crack detection, Fmeasure, image, Precision, Recall

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Rishi Sharma and Anjali Potnis and Vijayshree Chourasia},
  title = {Review of Image Based Concrete Crack Detection},
  howpublished = {EasyChair Preprint no. 4726},

  year = {EasyChair, 2020}}
Download PDFOpen PDF in browser