Adopting Microsoft Excel for Biomedical Signal and Image Processing

P. A. Larbi, D. A. Larbi
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Abstract

Microsoft Excel was recently added to the list of software applications for signal and image processing. The use of Excel as a powerful tool for teaching signal and image data processing techniques as demonstrated in agriculture and natural resource management can be easily adopted for biomedical applications. In the same vein, Excel’s proven utility as a research tool can also be harnessed. This chapter expands the methodology of signal and image formation, visualization, enhancement, and image data fusion using Excel. Different types of techniques used in biomedical imaging are introduced, including: X-ray radiography (X-rays), computerized tomography (CT), ultrasound (U/S), magnetic resonance imaging (MRI), and optical imaging. However, the chapter mainly focuses on optical imaging involving a single spectrum or multiple spectra such as RGB. Specific illustrations of corresponding outputs from different techniques are discussed in the chapter for a better appreciation by the reader.
采用Microsoft Excel进行生物医学信号和图像处理
微软Excel最近被添加到信号和图像处理的软件应用程序列表中。在农业和自然资源管理中,使用Excel作为一种强大的教学信号和图像数据处理技术的工具,可以很容易地应用于生物医学应用。同样,Excel作为研究工具的实用性也可以得到充分利用。本章扩展了使用Excel进行信号和图像形成、可视化、增强和图像数据融合的方法。介绍了生物医学成像中使用的不同类型的技术,包括:x射线照相(x射线),计算机断层扫描(CT),超声波(U/S),磁共振成像(MRI)和光学成像。然而,本章主要侧重于涉及单光谱或多光谱的光学成像,如RGB。本章讨论了不同技术对应输出的具体插图,以便读者更好地理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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