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An Integrated Color-Spatial Approach for Content-Based Image Retrieval

机译:基于内容的图像检索的集成色空间方法

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A Content-Based Image Retrieval (CBIR) system that employs both the color and spatial information of images is proposed. A maximum of three dominant color regions in an image together with its respective coordinates of the Minimum-Bounding Rectangle (MBR) is extracted using the Color-based Dominant Region segmentation. The Improved Sub-Block technique is then used to determine the location of the dominant regions by taking into consideration the total horizontal and vertical distance of a region at each location where it overlaps. A Query-by-Example CBIR system implementing the color-spatial technique is developed. We conducted an experimental study on an image database consisting of 900 images. The retrieval effectiveness using the new color-spatial technique is demonstrated.
机译:提出了一种基于内容的图像检索(CBIR)系统,其采用图像的颜色和空间信息。使用基于颜色的显性区域分割来提取图像中最多三个与其相应的最小边界矩形(MBR)的各自的坐标一起进行的三个显色区域。然后,改进的子块技术通过考虑其在其重叠的每个位置处的区域的总水平和垂直距离来确定显性区域的位置。开发了一种实现颜色空间技术的逐个逐个CBIR系统。我们对由900图像组成的图像数据库进行了实验研究。使用新的色空间技术进行检索效果。

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