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  Detection of Cracks Using Different Techniques: A Survey  
  Authors : Soji Koshy; Radhakrishnan. B
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This paper discusses about available techniques in automated full field mapping of civil structures involving image processing to facilitate real time structural health monitoring. The proposed system incorporates image processing and data acquisition methodologies for crack detection and assessment of surface degradation. The obtained results show that the deployment of image processing in an effective way is a key step towards the inspection of extensive infrastructures.


Published In : IJCSN Journal Volume 5, Issue 1

Date of Publication : February 2016

Pages : 121-126

Figures :03

Tables : 01

Publication Link : Detection of Cracks Using Different Techniques: A Survey




Soji Koshy : is pursuing her M. Tech degree in Computer Science and Engineering, under University of Kerala. She has completed the B.Tech Degree in 2014 under Mahatma Gandhi University, Kerala.

Radhakrishnan B : is currently working as Assistant Professor in Computer Science Department, Baselios Mathews II college of Engineering, Sasthamcotta, Kerala. He has more than 14 years experience in teaching and has published papers on data mining and image processing. His research interests include data mining, image processing and image mining.









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Different techniques have been emerging in the field of crack detection and assessment of structures. This survey paper overviewed different approaches regarding crack detection. More research is needed though in order to improve the prevailing issues with regard to visual inspection. This paper mentioned techniques such as detection based on edge detection, Morphological top hat transform, Improved K-means algorithm, Image fusion. Detection through gray scale imaging found to be resulted in misidentification of cracks, so a color based model with morphological operation seems good in the investigation.










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