郑州大学学报（理学版）2007，Vol.39Issue(3)：45-50,6.
基于优化多光谱成像的异物检测新方法
A Novel Method for Detection of Foreign Materials Based on Optimal Multi-spectral Imaging
鲁德浩1
作者信息
- 1. 华中科技大学控制科学与工程系,武汉,430074
- 折叠
摘要
Abstract
For effectively detecting foreign materials having the same shape and color as the cotton, the method based on optimal multi-spectral imaging is proposed. The objective of this research is to develop an optimal multi-spectral imaging system (OMIS) for detecting foreign materials in the spectral region 405～940 nm. This method is based on the principle that different materials have different spectral reflectance characteristics. Through experiments, an optimal wavelength and light energy are determined for detecting each certain kind of foreign material. Then, multispectral images of foreign materials are captured with a CCD camera at different optimal wavelengths source of illumination. An image fusion algorithm based on wavelet analysis is created to acquire complete information on foreign materials. Imaging results show that the combination wavelengths of 405 nm and 850 nm are the most appropriate for detection of a wide range of foreign materials, which provide an effective method for the detection of these foreign materials in cotton.关键词
异物/多光谱成像/最佳波长/最佳光强/图像融合Key words
foreign materials/ multi-spectral imaging/ optimal wavelength/ optimal light energy/ image fusion分类
信息技术与安全科学引用本文复制引用
鲁德浩..基于优化多光谱成像的异物检测新方法[J].郑州大学学报（理学版）,2007,39(3):45-50,6.
