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Research and Implement the Algorithm of Image Retrieval Based on the Multi-features

机译:基于多特征的图像检索算法研究与实现

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The paper introduced the algorithm of image retrieval witch combination the features of color, texture and shape and so on. Firstly, the internal and exterior normalization of multi-features are studied and analyzed, and introduced the normalization algorithm in detail. Secondly, the retrieval methods of the multi-features are showed. Lastly, adopted the Euclid distance metric, and used the UIUC image database, the multi-features retrieval algorithm have been confirmed and compared. From the experimental result, we know that use the multi-features retrieval method can obtain the good retrieval effect.
机译:介绍了结合颜色,纹理和形状等特征的图像检索算法。首先,对多特征的内部和外部归一化进行了研究和分析,并详细介绍了归一化算法。其次,给出了多种特征的检索方法。最后,采用欧几里德距离度量,并使用UIUC图像数据库,对多特征检索算法进行了确认和比较。从实验结果可以看出,使用多特征检索方法可以获得良好的检索效果。

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