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| 基于改进Hough变换的复杂纸页缺陷检测算法 |
| The Complicated Paper Surface Defects Detection Algorithm Based on Improved Hough Transformation |
| 收稿日期： |
| DOI：10.11980/j.issn.0254-508X.2011.12.012 |
| 关键词: Hough变换 纸页缺陷 图像处理 特征提取 |
| Key Words:Hough transform paper surface defect image processing features extraction |
| 基金项目:基金项目：山东省科技发展计划项目（2008GG30001021）。 |
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| 摘要:采用传统Hough变换法检测复杂纸页缺陷如褶皱、条痕等直线类特征纸病时，不能有效分辨具有较近斜率或截距的多直线特征。在标准Hough变换的基础上将Hough变换域空间变换为二维图像然后对其进行纸页缺陷特征提取，从而更加精确地检测出褶皱或条痕类纸病。经实验证明，改进的Hough变换在检测精度和时间上都优于标准Hough变换。 |
| Abstract:The complicated paper surface defects such as wrinkle and crease with linear features which have close slope or intercept cannot be distinguished effectively by traditional Hough transform. Based on existing algorithm, the Hough space is transformed into two-dimensional image, and then the paper defects features are extracted, through which the wrinkle and crease surface defects can be detected more accurately. Finally, the experiment proves that the improved algorithm has higher detection precision and shorter time consumption compared with Hough transform. |
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