Abstract
Image fusion plays a huge role in many fields, especially in medical image processing because the visual interpretation of the image can enhance by using the fusion technique. The result shows the important detail which is very useful for doctor to diagnose health problems. In the paper, we proposed a method for image fusion. The guided filter is used to enhance the detail of the input image and then the cross bilateral filter is applied to extract detail image from the enhanced image. The image result is made by weighted average using the weights calculated from the detailed images. The experimental results showed that the proposed method can work well with medical image as well as other kinds of image. In addition, our result is better than the other recent methods based on compared objective performance measures.
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Hien, N.M., Binh, N.T., Viet, N.Q., Quoc, P.B. (2018). Improving the Information in Medical Image by Adaptive Fusion Technique. In: Dang, T., Küng, J., Wagner, R., Thoai, N., Takizawa, M. (eds) Future Data and Security Engineering. FDSE 2018. Lecture Notes in Computer Science(), vol 11251. Springer, Cham. https://doi.org/10.1007/978-3-030-03192-3_32
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DOI: https://doi.org/10.1007/978-3-030-03192-3_32
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