Image Retrieval Method Based on Combined Euler Vector and Edges Direction Histogram
YANG Hong-Ju1,2, JIAN Xiao-Yan3, CAO Fu-Yuan1,2, QIAN Yi-Li1,2
1.School of Computer and Information Technology,Shanxi University,Taiyuan 030006 2.Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education,Shanxi University,Taiyuan 030006 3.Department of Computer Science and Technology,Taiyuan Normal College,Taiyuan 030012
Abstract：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.
杨红菊，菅小艳，曹付元，钱揖丽，. 基于组合欧拉向量与边缘方向直方图的图像检索方法[J]. 模式识别与人工智能, 2012, 25(3): 450-455.
YANG Hong-Ju, JIAN Xiao-Yan, CAO Fu-Yuan, QIAN Yi-Li. Image Retrieval Method Based on Combined Euler Vector and Edges Direction Histogram. , 2012, 25(3): 450-455.
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2012, Vol. 25 
