Improved material differentiation with spectral cadmium zinc telluride (CZT) detectors

使用光谱碲化镉锌 (CZT) 探测器改进材料区分

• 批准号: 536343-2018
• 负责人: Bazalova, Magdalena
• 金额: $ 0.91万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=644843
• 关键词: Improved; material; differentiation; spectral; cadmium

We propose to use energy-sensitive x-ray detectors manufactured by Redlen Technologies for non-destructive**material analysis and will focus on food inspetion. Through advanced experiments we will find the optimal**parameters for x-ray scanning of objects that yield the highest detection sensitivity. Here we will expand on the**theoretical work performed in our original Engage grant that determined the detector settings for most sensitive**cartilage detection in chicken breast. We will now provide algorithms for foreign small object detection based**on experimental results. The company will benefit from our knowledge of image processing algorithms and**together we will provide Canadians with improved food inspection techniques.

我们建议使用 Redlen Technologies 制造的能量敏感 X 射线探测器进行无损**材料分析，并将重点关注食品检测。通过先进的实验，我们将找到对物体进行 X 射线扫描的最佳**参数，从而产生最高的检测灵敏度。在这里，我们将扩展我们最初的 Engage 资助中进行的**理论工作，该工作确定了鸡胸肉中最敏感的**软骨检测的检测器设置。我们现在将提供基于实验结果的异物小物体检测算法。该公司将受益于我们在图像处理算法方面的知识，并且**我们将共同为加拿大人提供改进的食品检验技术。