Medical Image Fusion of CT and MRI using Multi Level Local Extrema for Cancer Detection |
Author(s): |
| Keravi Nakrani , Shankarsinh Vaghela Bapu Institute of Technology; Prof. Divyang Patel, Shankarsinh Vaghela Bapu Institute of Technology |
Keywords: |
| Cancer Detection, Image fusion, Image segmentation, MLE, PSNR, MSE |
Abstract |
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In clinical application images play an important role for diagnosis, Here Computed Tomography image and Magnetic Resonance image provides separate information. The fusion of both image will gives benefits of both the image, Dense and soft tissue can be easily concentrated by fused image. This paper proposes a novel algorithm to increase the quantity and quality of image using MLE. This algorithm used coarse and detailed layers for approximation. This algorithm has been subjected to several set of medical images. The performance of fused image can be quantified using PSNR and MSE. Fused image has been subjected to pre-processing & image segmentation, Watershed segmentation is efficient technique for detection of cancer cell with in tissue. |
Other Details |
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Paper ID: IJSRDV6I21523 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 2532-2534 |
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