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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.8 No.4
- 발행연도
- 2019.8
- 수록면
- 265 - 271 (7page)
- DOI
- 10.5573/IEIESPC.2019.8.4.265
이용수
초록· 키워드
오류제보하기
Image compression or fusion is the concept of identifying in-depth parameters of disease variables, and requires output images that preserve all the viable and prominent information that is gathered from source images without any further introduction of artifacts or unnecessary distortions. Measurement of images for prospective evaluation and image fusion depends on various performance measures, such as structure similarity index, standard deviation, edge detection, correlation coefficient and high pass correlation, average gradient, root-mean-square error, peak signal-to-noise ratio, entropy, etc. This review discusses various medical image fusion modalities focused on Principal Component Analysis, Independent Component Analysis, and wavelet transform. An introduction to the usefulness of such modalities is presented, suggesting safe hybrid modality combinations that could greatly enhance the image fusion process. Novel trends in medical image fusion techniques to achieve a perfectly desired, quality image, the future prospects of an ideal technique for medical imaging, and recognition of diseases are covered.
목차
Abstract
1. Introduction
2. Related Methods and Scope
3. Literature Review
4. Proposed Method
5. Advantages and Disadvantages of the Proposed Method
6. Conclusion
7. Future Scope
References
참고문헌 (18)
참고문헌 신청
Pavithra C / 2013 / Fusion of Two Images Based on Wavelet Transform / International Journal of Innovative Research in Science, Engineering and Technology 2(5)
Hong ZHENG / 2010 / Study on the Optimal Parameters of Image Fusion Based on Wavelet Transform / Journal of Computational Information Systems :131~137
Smt. G. Mamatha / 2012 / An Image Fusion Using Wavelet And Curvelet Transforms / Global Journal of Advanced EngineeringTechnologies 1(2)
R. K. Sharma / 1999 / Probabilistic Model-based Multisensor Image Fusion
S. Li / 2001 / Combination of images with diverse focuses using the spatial frequency / Information Fusion 2:169~176
Hong ZHENG / 2010 / Study on the Optimal Parameters of Image Fusion Based on Wavelet Transform / Journal of Computational Information Systems :131~137
Smt. G. Mamatha / 2012 / An Image Fusion Using Wavelet And Curvelet Transforms / Global Journal of Advanced EngineeringTechnologies 1(2)
R. K. Sharma / 1999 / Probabilistic Model-based Multisensor Image Fusion
S. Li / 2001 / Combination of images with diverse focuses using the spatial frequency / Information Fusion 2:169~176
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