alexa Abstract | Detection of Camouflaged People
ISSN: 2090-4886

International Journal of Sensor Networks and Data Communications
Open Access

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Research Article Open Access


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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Author(s): Bento NA, Silva JS and Dias JB


Laplacian pyramid, Pixel level image fusion, Metrics, Principal component analysis, Security, Wavelets, Change detection remote sensing,Data Security, Immuno sensors

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