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基于组合欧拉向量与边缘方向直方图的图像检索方法 被引量：3

Image Retrieval Method Based on Combined Euler Vector and Edges Direction Histogram
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摘要 在图像数据库中,如何有效检索和查询图像是一个重要的研究内容.文中提出一种结合组合欧拉向量与边缘方向直方图(EOH)的图像检索方法.首先,从边缘图像中提取组合欧拉向量特征进行图像检索(EEXO算法),其次,为更好地区分不同形状但欧拉特征相近的图像,将EEXO算法与EOH算法相结合提出EEXOEOH图像检索算法.实验结果表明,EEXOEOH算法与其它4种算法相比,具有较好的检索效率. How to retrieve and query images effectively is an important research topic in the image database. An image retrieval method is proposed which integrates combined Euler vector and edges orientation histogram（EOH）. Firstly, the combined Euler vector feature is extracted from the edge images for image retrieval （EEXO algorithm）. Then, to make a distinction among the images which have different shapes and similar Euler features, an image retrieval algorithm named EEXOEOH is presented which combines the EEXO algorithm and the EOH algorithm. The experimental results demonstrate that EEXOEOH has higher retrieval efficiency than the other four algorithms.
作者 杨红菊 菅小艳 曹付元 钱揖丽
机构地区 山西大学计算机与信息技术学院 山西大学计算智能与中文信息处理教育部重点实验室 太原师范学院计算机科学与技术系
出处 《模式识别与人工智能》 EI CSCD 北大核心 2012年第3期450-455,共6页 Pattern Recognition and Artificial Intelligence
基金 国家自然科学基金项目(No.61005053) 山西省高校科技开发项目(No.20110002)资助
关键词 边缘图像 组合欧拉向量 边缘方向直方图 图像检索 Edge Image, Combined Euler Vector, Edge Orientation Histogram （EOH）, Image Retrieval
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献9

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  • 2Bishnu A, Bhattacharya B, Kundu M. Euler Vector for Search and Retrieval of Gray-Tone Images. IEEE Trans on Systems, Man and Cybernetics, 2005, 35(4): 801 -812.
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二级参考文献28

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共引文献17

同被引文献24

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引证文献3

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模式识别与人工智能
2012年 第3期

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