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http://dx.doi.org/10.5370/JEET.2015.10.6.2384

New Medical Image Fusion Approach with Coding Based on SCD in Wireless Sensor Network  

Zhang, De-gan (Tianjin Key Lab of Intelligent Computing & Novel software Technology, Tianjin University of Technology)
Wang, Xiang (Key Laboratory of Computer Vision and System (Tianjin University of Technology), Ministry of Education)
Song, Xiao-dong (Tianjin Key Lab of Intelligent Computing & Novel software Technology, Tianjin University of Technology)
Publication Information
Journal of Electrical Engineering and Technology / v.10, no.6, 2015 , pp. 2384-2392 More about this Journal
Abstract
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 high-frequency 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).
Keywords
Big-data; Medical image; Spherical coordinate; Fusion;
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