摘要
针对造纸生产线上纸病在线检测系统光源不均匀性和纸病难以识别的问题,通过建立纸病图像背景模型实现动态补偿光源的不均匀成分,并根据不同纸病图像的灰度分布规律,两次使用二维小波变换增强其灰度轮廓信息和提取灰度特征,以实现纸病的在线辨识。实验结果表明,该方法可以显著提高纸病辨识精度。
Considering the problems of paper defects on-line detection system, including the light source was uneven and wrinkle defect was difficult to be identified, paper defect image background-model was built to dynamically compensate the uneven light, and based on the gray scale distribution of the images of various defects two-dimensional wavelet transformation was used twice to enhance the gray scale contour in- formation of the image and its gray scale characteristics were extracted to realize the paper defects detection on-line. The experimental results showed that the method could improve paper defects identification accuracy.
出处
《中国造纸学报》
CAS
CSCD
北大核心
2014年第3期47-53,共7页
Transactions of China Pulp and Paper
基金
陕西省科技统筹创新工程计划项目(2012KTCQ01-19)
陕西省科技攻关项目(2011K06-06)
陕西科技大学学术骨干培育计划(XSG2010010)
陕西科技大学博士启动基金(BJ10-05)
关键词
纸病在线辨识
图像背景灰度的动态补偿
褶皱纸病
二维Daubechies小波变换
on-line detection of paper defects
dynamic compensation on background gray scale
paper wrinkle
two-dimensional Daubechieswavelet transformation
