Surface Defect Detection of Slab Based on the Improved Adaboost Algorithm
WU Jia-wei1,YAN Jing-qi1,FANG Zhi-hong2,XIA Yong2
1. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China 2. Institute of Baoshan Iron and Steel Co Ltd, Shanghai 201900, China
Abstract��Aiming at problems of the steel slab surface defect detection and identification, from image processing and machine learning point of view, the new method to detect surface defect of steel slab, which was combined with Gabor wavelet and Canny edge-detection processing to remove pseudo-defect, was proposed based the improved Adaboost algorithm. Experimental results show that: the method has high accuracy, fast, easy implement.
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WU Jia-wei1,YAN Jing-qi1,FANG Zhi-hong2,XIA Yong2. Surface Defect Detection of Slab Based on the Improved Adaboost Algorithm. Chinese Journal of Iron and Steel, 2012, 24(09): 59-62.
2012, Vol. 24 
