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A Micro-defect Detection of Cold Rolled Steel
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 Title & Authors
A Micro-defect Detection of Cold Rolled Steel
Yun, Jong Pil;
 
 Abstract
In this paper, we propose a new defect detection technology for micro-defect on the surface of steel products. Due to depth and size of microscopic defect, slop of surface and vibration of strip, the conventional optical method cannot guarantee the detection performance. To solve the above-mentioned problems and increase signal to noise ratio, a novel retro-schlieren method that consists of retro reflector and knife edge is proposed. Moreover dual switching lighting method is also applied to distinguish uneven micro defects and surface noise. In proposed method, defective regions are represented by a black and white pattern. This pattern is detected by a defect detection algorithm with Gabor filter. Experimental results by simulator for sample defects of cold rolled steel show that the proposed method is effective.
 Keywords
defect detection;machine vision;image processing;steel surface;
 Language
Korean
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