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基于MPEG-7多特征融合的图像检索技术
引用本文:樊凌. 基于MPEG-7多特征融合的图像检索技术[J]. 电脑与信息技术, 2011, 19(6): 12-15
作者姓名:樊凌
作者单位:苏州市职业大学教务处,江苏苏州,215104
摘    要:针对MPEG-7单一描述符特征检索效率低的问题,提出了主颜色和边缘直方图特征融合的检索算法。同时利用检索目标在图像中分布的特点,利用分块加权法来提高对检索主目标的检索准确度。实验表明,该方法在查准率和查全率均优于单一特征的检索算法,检索精度得到了提高。

关 键 词:MPEG-7  图像检索  HSV直方图:特征融合:相似度度量

Image Retrieval Technology Based on Multi-Feature Fusion in MPEG-7
FAN Ling. Image Retrieval Technology Based on Multi-Feature Fusion in MPEG-7[J]. Computer and Information Technology, 2011, 19(6): 12-15
Authors:FAN Ling
Affiliation:FAN Ling(Office of Academic Affairs,Suzhou Vocational University,Suzhou 215104,China)
Abstract:For MPEG-7 low efficiency problems in image retrieval by using a single feature retrieval , the paper presents a new content-based image retrieval method on main color and edge histogram feature fusion. Retrieval accuracy can be improved by retrieval target characteristics of the distribution and block-weighted. Experiments show that the method in the precision rate and recall rate is better than a single feature of the retrieval algorithms, retrieval accuracy is improved.
Keywords:MPEG-7  image retrieval  HSV histogram  similarity metrics  feature fusion
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