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- W2319450712 abstract "Medical diagnoses methods are very important to determine the reasons of diseases. In this paper different algorithms are introduced to make image fusion using x-ray radiography chest image. This fusion is done for front view image and side view image. These algorithms are multiplication factors (MF), multi-resolution singular value decomposition (MSVD), dual tree complex wavelet transform, and discrete stationary wavelet transform (SWT). These algorithms are considered using six different methods. These methods being averaging, max coefficient, block bias based on largest magnitude, energy, block bias based on largest contrast and bias methods. A comparison is accomplished using peak signal to noise ratio (PSNR), mean square error (MSE), entropy, and measure of structural similarity (SSIM). The obtained results confirms that applying the fusion algorithms introduces better results for the four algorithms and enhances the performance characteristics of these algorithms more than using front view image only or side view image only. Furthermore, we concluded that the conventional MF algorithm is superior other three algorithms for most of statistical characteristics." @default.
- W2319450712 created "2016-06-24" @default.
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- W2319450712 date "2015-05-12" @default.
- W2319450712 modified "2023-09-22" @default.
- W2319450712 title "Comparison between X-Ray Radiography Image Fusion Algorithms Used in Medical Applications" @default.
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- W2319450712 doi "https://doi.org/10.15849/icit.2015.0025" @default.
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