This paper presents a real-time defect detection

algorithm for high-speed steel bar in coil. Because the target speed is

very high, proposed algorithm should process quickly the large

volumes of image for real-time processing. Therefore, defect detection

algorithm should satisfy two conflicting requirements of reducing the

processing time and improving the efficiency of defect detection. To

enhance performance of detection, edge preserving method is

suggested for noise reduction of target image. Finally, experiment

results show that the proposed algorithm guarantees the condition of

the real-time processing and accuracy of detection.-This paper presents a real-time defect detectionalgorithm for high-speed steel bar in coil. Because the target speed isvery high, proposed algorithm should process quickly the largevolumes of image for real-time processing. Therefore, defect detectionalgorithm should satisfy two conflicting requirements of reducing theprocessing time and improving the efficiency of defect detection. Toenhance performance of detection, edge preserving method issuggested for noise reduction of target image. Finally, experimentresults show that the proposed algorithm guarantees the condition ofthe real-time processing and accuracy of detection.