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《Journal of Electronic Measurement and Instrument》 2010-04
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Edge information extraction algorithm for CT cerebrovascular medical image based on neural network

Qin Ran(Department of Information and Engineering,Shandong Youth College,Jinan 250014,China)  
The source data of 3-dimension CT cerebrovascular medical image reconstruction come from 2D to-mography slices,the key part of pattern recognition is edge information extraction.To insure the quality of 3D image reconstruction and detail of edge information extraction,the characters of algorithm usually used and internal tissue of cerebrovascular image are analyzed.The SA_SOFM neural network is introduced in the edge information extraction for CT cerebrovascular medical image successfully.The SA_SOFM neural network algorithm is improved under the certain condition,the experiments on real images show that the method proposed in this paper is more accurate and robust.
【Fund】: 山东省教育厅科技发展计划(编号:J07WJ22)资助项目
【CateGory Index】: TP391.41
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Chinese Journal Full-text Database 3 Hits
1 Chen Guiyou 1 Sun Tongjing 1 Lei Yinsheng 2,3(1.School of Control Science and Engineering,Shandong University,Jinan 250061,China;2.School of Precision Instrument and Opto-electronics Engineering,Tianjin University,Tianjin 300072,China;3.Shandong Youth Administrative Cadre College,Jinan 250014,China);Fingerprint Image Enhancement Based on Adaptive Filter[J];Journal of Electronic Measurement and Instrument;2006-06
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