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  Published Paper Details:

  Paper Title

CRACK DETECTION ON CONCRETE SURFACES USING IMAGE PROCESSING

  Authors

  Ampolu Soundarya,  Koyya Bhavana,  Dunna Yamuna,  Ahamed Unnisa,  Ms B Haritha Lakshmi

  Keywords

Image Based Detection, Concrete Structures

  Abstract


Due to environmental changes and poor quality of construction materials, cracks may develop in the walls of the building which is critical for maintenance as well as the continuous exposure will cause the severe damage to the environment. One of the initial signs of the degradation of a concrete surface or a material is cracks. Manual inspection has many drawbacks like invisibility of the crack, time consuming and it completely depends upon specialist�s knowledge and experience. So automatic image-based crack detection is used as replacement for manual inspection which reduces the cost when compared to the manual approach. The proposed algorithm has been tested against various concrete crack images to study how effectively the algorithm is working, and how effectively it is overcoming the drawbacks of the present manual approach. The algorithm is projected to serve the purpose of various people by estimating the parameters of the crack so the bricklayer can take the necessary actions from the degradation of concrete structures.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2005287

  Paper ID - 194763

  Page Number(s) - 2153-2158

  Pubished in - Volume 8 | Issue 5 | May 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ampolu Soundarya,  Koyya Bhavana,  Dunna Yamuna,  Ahamed Unnisa,  Ms B Haritha Lakshmi,   "CRACK DETECTION ON CONCRETE SURFACES USING IMAGE PROCESSING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 5, pp.2153-2158, May 2020, Available at :http://www.ijcrt.org/papers/IJCRT2005287.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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