| 基于Adaboost改进算法的铸坯表面缺陷检测方法 |
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| 引用本文： | 吴家伟,严京旗,方志宏,夏勇.基于Adaboost改进算法的铸坯表面缺陷检测方法[J].钢铁研究学报,2012,24(9):59-62. |
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| 作者姓名： | 吴家伟 严京旗 方志宏 夏勇 |
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| 作者单位： | 上海交通大学图像处理与模式识别研究所;宝山钢铁股份有限公司研究院 |
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| 基金项目： | 国家自然科学基金资助项目(60873137) |
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| 摘 要： | 针对钢铁铸坯表面检测及缺陷识别问题，从图像处理及机器学习角度，提出一种基于Adaboost算法的进行钢铁铸坯表面缺陷检测，并结合Gabor小波和Canny边缘检测进行处理，排除伪缺陷的新方法。大量试验表明：该方法能够较好地检出具有缺陷的钢铁铸坯，且具有准确率高、速度快、易实施等优点。
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| 关 键 词： | 缺陷检测 Adaboost算法 Haar特征 Gabor小波 Canny边缘检测 |
Surface Defect Detection of Slab Based on the Improved Adaboost Algorithm |
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| WU Jia-wei,YAN Jing-qi,FANG Zhi-hong,XIA Yong.Surface Defect Detection of Slab Based on the Improved Adaboost Algorithm[J].Journal of Iron and Steel Research,2012,24(9):59-62. |
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| Authors: | WU Jia-wei YAN Jing-qi FANG Zhi-hong XIA Yong |
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| Affiliation: | 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 |
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| 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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| Keywords: | defect detection Adaboost Haar feature Gabor wavelet Canny edge-detection |
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