发现伪装的人

Bento Na, José Silvestre Silva, D. Jb
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引用次数: 5

摘要

热成像的使用对军人来说是一个好处。由于它们的优点,它有大量的应用,包括检测伪装的人。为了获得更好的结果,可以将热信息与颜色信息合并,这样可以提供更多的细节,从而提高安全性。本工作采用像素级图像融合方法:主成分分析、拉普拉斯金字塔和离散小波变换。定性分析表明,采用小波分析、拉普拉斯金字塔分析和主成分分析的效果较好。采用标准偏差、熵、空间频率、互信息、融合质量指数和结构相似指数进行定量分析。所得值支持定性分析得出的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Camouflaged People
The use of thermal imaging is a benefit for the military people. Due to their advantages, it has a large number of applications, including the detection of camouflaged people. For better results, the thermal information can be merged with the color information which allows a greater de-tail, resulting in a higher degree of security. The present work implemented as pixel level image fusion methods: Principal Components Analysis, Laplacian Pyramid, and Discrete Wavelet Transform. A qualitative analysis concluded that the method which performs better is the one that uses Wavelets, followed by the Laplacian Pyramid and finally the PCA. A quantitative analysis was made using the metrics: Standard Deviation, Entropy, Spatial Frequency, Mutual Information, Fusion Quality Index and Structural Similarity Index. The values obtained support the conclusions extracted from the qualitative analysis.
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