太赫兹成像检测算法研究

Research on terahertz imaging detection algorithm

由于太赫兹波所处波段位置特殊性以及现阶段太赫兹成像系统性能的限制等,太赫兹波成像质量低,无法满足可视化效果,限制了其发展和应用。结合太赫兹图像模糊特征和灰度信息提出利用灰度特征对太赫兹图像进行图像分割来提高太赫兹图像质量,抑制太赫兹图像背景噪声,保留太赫兹图像目标重要信息,实现太赫兹成像目标检测。实验结果与其他太赫兹图像处理方法结果对比表明,基于灰度特征的图像处理算法可以提高图像清晰度和对比度,实现精确分割,为太赫兹成像在安全检查和医学成像等应用中实现快速检测和提取目标奠定基础。

On account of the particularity of the terahertz wave band position and the limitation of terahertz imaging system performance at present stage,the imaging quality of terahertz wave is low and cannot meet the visualization effect,which restrict its development and application. In combination of the terahertz image fuzzy feature with gray information,the terahertz image′s segmentation by means of the gray feature is proposed to improve the image quality of terahertz wave,suppress the background noise of terahertz image and retain the important information of terahertz image target,so as to realize the detection of terahertz imaging target. The experimental results show that,in comparison with other terahertz image processing methods,the image processing algorithm based on gray feature can improve image sharpness and contrast,and achieve accurate segmentation,which lays a foundation for the rapid detection and extraction of the terahertz imaging in the applications of safety inspection and medical imaging.