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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Anand, T.S. Narasimhan, K. Saravanan, P. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electronics & Communication Engineering, School of Electrical and Electronics Engineering, SASTRA University, Thanjavur, India (Anand, T.S.; Narasimhan, K.) || Department of Electronics & Communication Engineering, Thiagarajar College of Engineering, Madurai, India (Saravanan, P.) |
| Abstract | Image fusion refers to the process of combining the relevant information from two or more images into a single highly informative image. The resulting fused image contains more information than the input images. In this paper, an algorithm for fusing two different modality medical images based on the Multi-Wavelet Transform (MWT) and Curvelet transform using different fusion techniques was implemented and results are analyzed using different quantitative measures. The images obtained from different medical imaging techniques such as Computer Tomography (CT) and Magnetic Resonance (MR) images are fused into a new image to improve the information content for diagnosis. In the present fusion algorithm, the input images from two different modalities such as CT and MR are initially registered and then transform namely Multi-Wavelet transform and Curvelet transform are applied on the input images. Finally the resultant images are fused using various fusion techniques. Fusion results are evaluated and compared according to four measures of performance - the Entropy (H), Root Mean Square Error (RMSE), Peak Signal to Noise Ratio (PSNR) and Correlation Coefficient (CC). |
| Starting Page | 121 |
| Ending Page | 129 |
| File Size | 1290974 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781467302135 |
| e-ISBN | 9788190904223 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-30 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Pillay Engineering College |
| Subject Keyword | Wavelet transforms Computers Conferences Multi-Wavelet Transform Peak Signal to Noise Ratio (PSNR) Wavelet analysis Vectors Curvelet Transform Image fusion Biomedical imaging Root Mean Square Error (RMSE) |
| Content Type | Text |
| Resource Type | Article |
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