- 期刊
- OpenAccess
Concealed Weapon Detection Using Multiresolution Additive Wavelet Decomposition
並列摘要
Image fusion is studied for detecting concealed weapons or any object which is concealed by a person. In this study a new algorithm is developed for fusing visual Image and Infrared (IR) image which is based on additive wavelet decomposition. The obtained fused image maintains the high resolution of the visual image by incorporating the concealed weapon. The efficiency of the proposed method is evaluated using quantitative measures such as Correlation Coefficient (CC), RMSE, ERGAS, Spectral Angle Mapper (SAM), Universal Image Quality Index (UIQI), Relative bias, variance and standard deviation.
延伸閱讀
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