| 宋卫华.基于多级别特征融合的医学图像检索技术[J].南华大学学报(自然科学版),2014,28(2):76~78, 83.[SONG Wei-hua.Medical Image Retrieval Based on Multi-level Feature Fusion[J].Journal of University of South China(Science and Technology),2014,28(2):76~78, 83.] |
| 基于多级别特征融合的医学图像检索技术 |
| Medical Image Retrieval Based on Multi-level Feature Fusion |
| 投稿时间：2013-07-12 |
| DOI： |
| 中文关键词: 医学图像检索 语义信息 多级别特征融合 |
| 英文关键词:medical image retrieval semantic information multi-level feature fusion |
| 基金项目: |
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| 摘要点击次数: 575 |
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| 中文摘要: |
| 针对医学胸部CT扫描图像,在分别研究单一特征检索算法基础上,提出了基于底层—底层和底层—高层两种级别的特征融合检索方法.据此,用VC# 和SQL server2005实现了一个图像检索原型系统,验证了所提方法的有效性. |
| 英文摘要: |
| In allusion to chest CT image database,a multi-level feature fusion algorithm including low-low level and low-high level is proposed based on the study of single feature.Then,a prototype system which supports query by example is implemented using VC# and SQL server 2005,and the experimental results shows that the approach is effective. |
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