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。
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.
出处
《中国造纸》
CAS
北大核心
2011年第12期47-50,共4页
China Pulp & Paper
基金
山东省科技发展计划项目(2008GG30001021)
关键词
HOUGH变换
纸页缺陷
图像处理
特征提取
Hough transform
paper surface defect
image processing
features extraction
作者简介
周露露女士，在读硕士研究生；主要研究方向：工业过程检测技术与仪器。
