可视化
太赫兹辐射
计算机科学
人工智能
过程(计算)
原始数据
领域(数学)
模式识别(心理学)
计算机视觉
材料科学
数学
光电子学
操作系统
程序设计语言
纯数学
作者
Torsten L ffler,Karsten J. Siebert,Stephanie Czasch,Tobias Bauer,Hartmut G. Roskos
标识
DOI:10.1088/0031-9155/47/21/324
摘要
'Visualization' in imaging is the process of extracting useful information from raw data in such a way that meaningful physical contrasts are developed. 'Classification' is the subsequent process of defining parameter ranges which allow us to identify elements of images such as different tissues or different objects. In this paper, we explore techniques for visualization and classification in terahertz pulsed imaging (TPI) for biomedical applications. For archived (formalin-fixed, alcohol-dehydrated and paraffin-mounted) test samples, we investigate both time- and frequency-domain methods based on bright- and dark-field TPI. Successful tissue classification is demonstrated.
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