DAMAGE DETECTION IN BRIDGES USING IMAGE PROCESSING
Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.7, No. 2)Publication Date: 2016-04-23
Authors : AZMAT HUSSAIN; SABA BASHIR; SAIMA MAQBOOL;
Page : 215-225
Keywords : Edge Extraction; Image Processing Pruning; Pixels; Texture Analysis; Iaeme Publication; IAEME; Civil; Engineering; IJCIET;
Abstract
Road network such as bridges, culverts have vital role before, during and after extreme events to reduce the vulnerability of the community being served. The bridge may be damaged due to severe accidents occurring over it. The bridge may be damaged fully or partially due to heavy and unexpected gale. The cost for the maintenance may be high enough and still no one can ensure us about safety of the bridges or any other structure in future. Whenever there is disaster, there is damage to the public property. So, we certainly need tools to detect the Various methods for the rehabilitation of bridges are currently available including the addition of structural reinforcement components as steel rebar or reinforced concrete (RC) jackets and bonded steel plates
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Last modified: 2016-05-25 17:03:08