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ICETTR-2013
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Paper Title : Concrete Structure Analysis and Classification using Image Processing
Author Name : Rashmi R.A, A.D Mane, S.L Tade
Abstract : There is increasing awareness of the need to inspect concrete structures, such as old buildings and other concrete structures, because they may be affected by aging, natural disasters or shoddy workmanship. To maintain and manage these concrete structures properly, it is necessary to inspect and diagnose the state of their deterioration accurately, to detect cracks on their surfaces at an early stage, and to repair detected defects or apply reinforcement. Contact-less remote-sensing crack detection and quantification methodologies are described in this paper. The systems and methodologies include depth perception for detecting the cracks and also quantify the cracks. Proposed method includes the crack detection, strength calculation, inspection and monitoring of the structure and classification using neural network.In addition, in the field of product manufacturing, it is extremely important to maintain high quality control by inspecting products for defects accurately, thereby raising productivity. This is why increasing attention is being drawn to technology for non-destructive testing of concrete structures, which enables unskilled operators to inspect and diagnose aging structures or defective products quickly and accurately without damaging them at all.
Keywords : Crack Detection, neural, Gaussian filter (GF), Red to green (RGB), Concrete surface, Photogrammetry.
Cite this article : Rashmi R.A, A.D Mane, S.L Tade " Concrete Structure Analysis and Classification using Image Processing " ,ICETTR-2013 ,Page No : 282-287.