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.
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.
CBIR
Feature Extraction
Bag of Words
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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