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Abstract
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Article Information:
Concealed Weapon Detection Using Multiresolution Additive Wavelet Decomposition
Sathya Annadurai and V. Vaithiyanathan
Corresponding Author: Sathya Annadurai
Submitted: March 16, 2012
Accepted: April 14, 2012
Published: October 15, 2012 |
Abstract:
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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.
Key words: Image fusion , multiresolution analysis, wavelet decomposition, , , ,
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Abstract
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Cite this Reference:
Sathya Annadurai and V. Vaithiyanathan, . Concealed Weapon Detection Using Multiresolution Additive Wavelet Decomposition. Research Journal of Applied Sciences, Engineering and Technology, (20): 4118-4121.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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