Tools for texture- and color-based search of images
Tools for texture- and color-based search of images
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基于纹理和颜色的图像搜索工具
DOI：
10.1117/12.274547
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
B. S. Manjunath
中科院分区：
文献类型：
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作者：
Wei;Yining Deng;B. S. Manjunath
目前有相当多的图像检索系统使用颜色和纹理作为特征来搜索图像。然而，通过使用全局特征，这些方法检索的结果往往没有太多的感知意义。有必要将特征提取约束在同质区域内，这样才能很好地表示这些区域内的相关信息。本文描述了我们最近在开发一种图像分割算法方面的工作，该算法适用于处理大量不同的图像数据集。提出了一种更适合这些分割区域的紧凑的颜色特征表示方法。通过使用颜色和纹理特征以及基于区域的搜索，与基于整幅图像的搜索相比，我们获得了非常好的检索性能。
Currently there are quite a few image retrieval systems that use color and texture as features to search images. However, by using global features these methods retrieve results that often do not make much perceptual sense. It is necessary to constrain the feature extraction within homogeneous regions, so that the relevant information within these regions can be well represented. This paper describes our recent work on developing an image segmentation algorithm which is useful for processing large and diverse collections of image data. A compact color feature representation which is more appropriate for these segmented regions is also proposed. By using the color and texture features and a region-based search, we achieve a very good retrieval performance compared to the entire image based search.