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Image retrieval method based on combination of color and image features

机译:基于颜色和图像特征组合的图像检索方法

摘要

An image retrieval method with improved performance in which a data image similar to a query image is retrieved by appropriately combining color and texture features. The method for retrieving a data image similar to a query image in an image database containing a plurality of data images involves: calculating color and texture distances between a query image and each data image in the image database; weighting the calculated color and texture distances with predetermined weighting factors; calculating a feature distance between the query image and each data image by combining the weighted color and texture distances by considering human visual perception attributes; and determining the data image similar to the query image using the feature distance. According to the image retrieval method, data images similar to a query image can be retrieved based on the human visual perception mechanism by combining both color and texture features extracted from image regions. In particular, the image region based retrieval enables accurate retrieval of more objects and many kinds of information from a single image.
机译:一种具有改进性能的图像检索方法,其中通过适当地组合颜色和纹理特征来检索与查询图像相似的数据图像。在包含多个数据图像的图像数据库中检索与查询图像相似的数据图像的方法包括:计算查询图像与图像数据库中每个数据图像之间的颜色和纹理距离;使用预定的加权因子对计算出的颜色和纹理距离进行加权;通过结合加权的颜色和纹理距离并考虑人类的视觉感知属性,计算查询图像和每个数据图像之间的特征距离;利用特征距离确定与查询图像相似的数据图像。根据该图像检索方法,通过组合从图像区域提取的颜色和纹理特征,可以基于人类的视觉感知机制来检索与查询图像相似的数据图像。特别地,基于图像区域的检索能够从单个图像中准确检索更多的对象和多种信息。

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