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A region-based image database system using colour and texture

机译:使用颜色和纹理的基于区域的图像数据库系统

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In this paper, a region-based image database system is presented. When an image is entered into the database it is first clustered into similar looking regions using the local colour and texture properties of the image. The mean colour and texture properties, of these regions along with their location and size are then stored as an index into that image. To query the database, the user specifies an object on which the same texture and colour properties are calculated. A neural network is trained on these features and then used to search through the indices of the database images. All similar looking regions in the images are shown as the results to the query.
机译:本文提出了一种基于区域的图像数据库系统。将图像输入数据库后,首先使用图像的本地颜色和纹理属性将其聚类为外观相似的区域。然后将这些区域的平均颜色和纹理属性及其位置和大小作为索引存储到该图像中。为了查询数据库,用户指定一个对象,在该对象上计算相同的纹理和颜色属性。对这些功能进行了神经网络训练,然后用于搜索数据库图像的索引。图像中所有看起来相似的区域都显示为查询的结果。

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