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Identify the Cracks of Bridge

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dc.contributor.author Ahmed, Taufiq
dc.contributor.author Siddika, Mst. Ayesha
dc.contributor.author Sarker, Md. Abu Yousuf
dc.date.accessioned 2019-06-23T09:10:04Z
dc.date.available 2019-06-23T09:10:04Z
dc.date.issued 2018-12
dc.identifier.uri http://hdl.handle.net/123456789/2461
dc.description.abstract In this paper we propose a crack quantification method based on 2D image analysis. The detection of cracks is a crucial task in monitoring structural health andensuring structural safety. The manual process of crack detection is painstakingly time consuming and suffers fromsubjective judgments ofinspectors. Thisstudy establishes an intelligent model based on image processing by MATLAB. It is proposed to preprocess the image threshold by the MATLAB. The goal of this method is to meliorate the accuracy of the crack detection results. Experimental results point out difference between two images of the same object to detect crack defects in digital images. Therefore, the constructed model can be a useful tool for building management agencies and construction engineers in the task of structure maintenance. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.relation.ispartofseries ;P12851
dc.subject Crack Quantification en_US
dc.subject 2D image analysis en_US
dc.title Identify the Cracks of Bridge en_US
dc.type Other en_US


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