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Research Paper | Electronics & Communication Engineering | India | Volume 4 Issue 1, January 2015
Multi-Focus Medical Image Fusion using Tetrolet Transform based on Global Thresholding Approach
K.L. Naga Kishore | G. Prathibha [3]
Abstract: In this paper Multi-focus medical image fusion algorithm based on the tetrolet transform with global thresholding approach was proposed. Tetrolet transform is successfully applied in the image de-noising, image sparse representation, and image restoration. In this paper, tetrolet transform was introduced into the field of medical image fusion since its sparse degree is high. Tetrolet can describe the geometric structural feature of the medical images very well. This paper compares the proposed image fusion algorithm to few similar image fusion algorithms based on the performance evaluation metrics like Entropy, Sharpness and PSNR.
Keywords: Tetrolet Transform, Global Thresholding, Entropy, Sharpness, PSNR
Edition: Volume 4 Issue 1, January 2015,
Pages: 518 - 522
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Downloads: 93
M.Tech / M.E / PhD Thesis, Electronics & Communication Engineering, India, Volume 4 Issue 2, February 2015
Pages: 1335 - 1340Robust Segmentation and Classification of Histopathological Image
Jincy Wilson | Vipin V. R.
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Comparative Studies, Electronics & Communication Engineering, India, Volume 4 Issue 7, July 2015
Pages: 1816 - 1821Comparison of Image Fusion Technique with Special reference to Information Content
Rashmi P. Jogiya | Sunil R. Gupta