Medical image fusion based on improved sum‐modified‐Laplacian |
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| Authors: | Shuaiqi Liu Jie Zhao Mingzhu Shi |
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| Affiliation: | 1. College of Electronic and Information Engineering, Hebei University, Baoding Hebei, China;2. Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding Hebei, China;3. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China |
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| Abstract: | Sum‐modified‐Laplacian (SML) plays an important role in medical image fusion. However, fused rules based on larger SML always lead to fusion image distortion in transform domain image fusion or image information loss in spatial domain image fusion. Combined with average filter and median filter, a new medical image fusion method based on improved SML (ISML) is proposed. First, a basic fused image is gained by ISML, which is used for evaluation of the selection map of medical images. Second, difference images can be obtained by subtracting average image of all sources of medical images. Finally, basic fused image can be refined by difference images. The algorithm can both preserve the information of the source images well and suppress pixel distortion. Experimental results demonstrate that the proposed method outperforms the state‐of‐the‐art medical image fusion methods. © 2015 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 25, 206–212, 2015 |
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| Keywords: | medical image fusion improved sum‐modified‐Laplacian average filter median filter |
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