Image Geometry Based Concrete Crack Quantification
Abin Saji John1, Nishant Mani Xaxa2, Anson Antony3, A. Diana Andrushia4
1Abin Saji John, Department of Electronics and Communication Engineering, Karunya Institute of Technology & Sciences, Coimbatore (Tamil Nadu), India.
2Nishant Mani Xaxa, Department of Electronics and Communication Engineering, Karunya Institute of Technology & Sciences, Coimbatore (Tamil Nadu), India.
3Anson Antony, Department of Electronics and Communication Engineering, Karunya Institute of Technology & Sciences, Coimbatore (Tamil Nadu), India.
4A. Diana Andrushia, Department of Electronics and Communication Engineering, Karunya Institute of Technology & Sciences, Coimbatore (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 91-94 | Volume-8 Issue-7, May 2019 | Retrieval Number: F3767048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cracks in the concrete are the common defects in buildings and structures. Many computers vision-based methods are used to identify the concrete structures.This paper is developed to analyze and measure different parameters of crack in concrete structures. Three different types of cracks are available in structures such as longitudinal, transverse and diagonal. The main reasons of crack depend on the crack appeared in a beam, column or any structural wall. Crack in a beam is usually due to tension, crack in a column occur due to eccentric loading, structural cracks are formed due to moisture change or thermal movement.The proposed method initially deals with crack segmentation and secondly the image geometry based parameters are employed for crack quantificati
Keyword: Concrete Quantification Crack Eccentric.
Scope of the Article: Signal and Image Processing.