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一种局部与全局特征结合的图像检索算法

An image retrieval method based on local stable region and global feature
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摘要 提出了一种基于稳定局部区域检测和全局图像特征描述的图像检索新算法。该算法继承了局部区域特征和GIST特征的优点,能够更精确地描述图像的内容,并且可以应对不同的视角变换,在一定程度上提高了图像检索的精度。 A new image retrieval algorithm based on stable local regions and global feature is proposed. The proposed method has the both advantages of the local region method and GIST method,which can descript the image content more accurately and manage different viewpoints. To some extent, it improves the image retrieval precision.
出处 《微型机与应用》 2013年第18期44-46,共3页 Microcomputer & Its Applications
关键词 稳定局部区域 全局内容特征 图像匹配 MSER GIST feature image matching
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