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Region-based image retrieval using color-size features of watershed regions

机译:利用流域区域颜色大小特征的基于区域的图像检索

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This paper presents a region-based image retrieval system that provides a user interface for helping to specify the watershed regions of interest within a query image. We first propose a new type of visual features, called color-size feature, which includes color-size histogram and moments, to integrate color and region-size information of watershed regions. Next, we design a scheme of region filtering that is based on color-size histogram to fast screen out some of most irrelevant regions and images for the preprocessing of the image retrieval. Our region-based image retrieval system applies the Earth Mover's Distance in the design of the similarity measure for image ranking and matching. Finally, we present some experiments for the color-size feature, region filtering, and retrieval results that demonstrate the efficiency of our proposed system.
机译:本文提出了一种基于区域的图像检索系统,该系统提供了用于帮助指定查询图像内的分水岭区域的用户界面。我们首先提出一种新型的视觉特征,称为颜色大小特征,其中包括颜色大小直方图和矩,以整合流域区域的颜色和区域大小信息。接下来,我们设计一种基于颜色大小直方图的区域过滤方案,以快速筛选出一些最不相关的区域和图像,以进行图像检索的预处理。我们基于区域的图像检索系统在设计相似度度量以进行图像排名和匹配时,采用了地球移动器的距离。最后,我们提出了一些针对颜色大小特征,区域过滤和检索结果的实验​​,这些实验证明了我们提出的系统的效率。

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