西安工程大学学报2009，Vol.23Issue(2)：196-201,6.
基于计算机视觉的织物疵点自动检测
Automatic inspection of fabric defects based on computer vision
刘曙光 1屈萍鸽1
作者信息
- 1. 西安工程大学,电子信息学院,陕西,西安,710048
- 折叠
摘要
Abstract
Wavelet transform and BP neural network were used together to inspect and classify the fabric defects. A plain white fabric is adopted as the sample, and the distinguishing defects are oil stains, warp-lacking, and weft-lacking. An area camera with 256 × 256 resolution is used in the scheme, a grabbed image is transmitted to a computer for wavelet transform, and then the corresponding image data are then used in BP neural network as input. The result shows that the fabric defects' classification rate can be up to 95% with above method.关键词
小波分析/BP神经网络,织物疵点Key words
wavelet analysis/BP neural network/fabric defects分类
轻工纺织引用本文复制引用
刘曙光,屈萍鸽..基于计算机视觉的织物疵点自动检测[J].西安工程大学学报,2009,23(2):196-201,6.
