Robotic machines are now of great interest for process automation. Machine vision (MV) is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control and robot guidance in industry. Machine vision is concerned with the theory behind artificial systems that extract information from images and sequence of images. The purpose of this system is to relieve human inspectors of the tedious and inefficient task of looking of these defects. Here we first compared a standard image of steel coating with defective image, using subtraction algorithm that can highlight the main problem-regions. Our aim was to detect typical defect in bridge images like rust, hole, crack and fatigue.
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