样本内部缺陷的太赫兹光谱成像与算法优化

Terahertz spectral imaging and algorithm optimization for internal defects of samples

利用太赫兹时域光谱成像技术检测了存在内部缺陷的高分子3D打印样本,获得了太赫兹时域光谱成像图。初步结果表明,样本中的缺陷与材料自身对太赫兹波的吸收及反射存在差异,太赫兹光谱成像可直接表征3D打印材料的外部缺陷,但对存在于样本内部的缺陷,太赫兹光谱成像结果尚需进一步优化。进一步研究发现,利用高斯加噪、叠加融合、最小二乘去噪等算法对内部缺陷的光谱图像进行优化,能够得到清晰的太赫兹时域光谱图像。因此,利用太赫兹时域光谱成像技术及优化算法,能够实现对有机高分子3D打印材料内部缺陷的表征。

Terahertz time-domain spectral images of polymer 3D printed samples with internal defects are obtained using terahertz time-domain spectral imaging technique.The preliminary results show that the defects in the sample and the materials have different absorption and reflection of terahertz waves.The external defects of 3D printed materials can be characterized directly by terahertz spectroscopy imaging.However,for the internal defects of the sample,the results of terahertz spectroscopy imaging need to be further optimized.Further study shows that being optimized by Gaussian noise addition,superposition fusion,least squares denoising and other algorithms,clear terahertz time-domain spectral images of internal defects can be obtained.Therefore,it is shown that the internal defects of organic polymer 3D printing materials can be characterized by terahertz time-domain spectral imaging technique combined with optimization algorithms.