基于曲线拟合的双能X射线透射的金属识别研究

双能X射线透射分析技术通过识别物料种类来回收废旧金属.针对传统的识别算法存在识别结果受金属厚度影响大、可识别的金属厚度范围较小的问题,在曲线拟合方法的基础上提出了一种基于野值判断的金属识别方法.采用基于高、低能T值的拟合曲线,减少了厚度因素对拟合曲线相关度的影响,解决了较厚金属无法识别的问题;引入野值判断,提高了识别的...

Metal Recognition Algorithm Based on Curve Fitting for Dual Energy X-ray Transmission

Dual energy X-ray transmission analysis technology recycles scrap metal by identifying material types. In order to solve the problems that the identification result is greatly affected by the metal thickness and the range of metal thickness can be recognized is small, a metal identification method based on outliers is proposed based on the curve fitting method. The fitting curves based on high and low energy t-values are used to reduce the influence of thickness factor on the correlation of fitting curves, and the problem that the thick metal cannot be identified is solved. Outliers judgement is introduced to improve the accuracy of recognition. The identification experiments of metal aluminum and metal copper with different thicknesses are carried out. The results show that the T-value fitting identification algorithm based on outlaw judgment has a better identification effect on aluminum and copper with different thicknesses. Compared with the traditional algorithm, the recognizable thickness range is increased to 90mm and 40mm respectively, which expands the range of metal thickness that can be sorted.