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논문 기본 정보

자료유형
학술저널
저자정보
De-gan Zhang (Tianjin University of Technology) Xiang Wang (Tianjin University of Technology) Xiao-dong Song (Tianjin University of Technology)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.6
발행연도
2015.11
수록면
2,384 - 2,392 (9page)

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초록· 키워드

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The technical development and practical applications of big-data for health is one hot topic under the banner of big-data. Big-data medical image fusion is one of key problems. A new fusion approach with coding based on Spherical Coordinate Domain (SCD) in Wireless Sensor Network (WSN) for big-data medical image is proposed in this paper. In this approach, the three highfrequency coefficients in wavelet domain of medical image are pre-processed. This pre-processing strategy can reduce the redundant ratio of big-data medical image. Firstly, the high-frequency coefficients are transformed to the spherical coordinate domain to reduce the correlation in the same scale. Then, a multi-scale model product (MSMP) is used to control the shrinkage function so as to make the small wavelet coefficients and some noise removed. The high-frequency parts in spherical coordinate domain are coded by improved SPIHT algorithm. Finally, based on the multi-scale edge of medical image, it can be fused and reconstructed. Experimental results indicate the novel approach is effective and very useful for transmission of big-data medical image(especially, in the wireless environment).

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Abstract
1. Introduction
2. Related Works
3. Spherical Coordinate Transform
4. Medical Image Coding Algorithm
5. Experiment and Test
6. Conclusion
References

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