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Content-Based Retrieval Using Color, Texture, and Shape Information

机译:基于内容的检索使用颜色,纹理和形状信息

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Current technology allows the acquisition, transmission, storing, and manipulation of large collections of images. A way to achieve this goal is the automatic computation of features such as color, texture, shape, and position of objects within images, and the use of the features as query terms. In this paper we describe some results of a study on similarity evaluation in image retrieval using shape, texture, color and object orientation and relative position as content features. A simple system is also introduced that computes the feature descriptors and performs queries.
机译:目前的技术允许采集,传输,存储和操纵大量图像。实现这一目标的方法是自动计算图像内的对象的颜色,纹理,形状和位置,以及使用功能作为查询术语。在本文中,我们描述了一种在图像检索中使用形状,纹理,颜色和对象方向和相对位置作为内容特征的相似性评估研究结果。还引入了一个简单的系统,用于计算特征描述符并执行查询。

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