Journal of Chemical and Pharmaceutical Research (ISSN : 0975-7384)

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Original Articles: 2014 Vol: 6 Issue: 5

Research on medical image fusion based on improved redundant complex wavelet transform.


Medical image fusion refers to the process of information integration for several medical images in the same scene. The result medical image from fusion will describe the scene in a more accurate manner than any other single medical images. The paper proposes a multi-focus medical image fusion method which integrates the traditional fusion based on pixels and characteristics. Firstly, it decomposes multi-focus medical image fusion redundant wavelet transform (RWT). Then, it uses the extracted brink features to guide the organization coefficient. Finally, it uses RWT inverse transformation to reconstruct fusion medical image. According to experimental result of several multi-focus medical image fusion, the fusion method proposed by the paper shows better fusion effect than the gradient pyramid transformation and non-consecutive wavelet transformation.

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