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Rotation and Translation Invariant Color Image Retrieval

机译:旋转和平移不变彩色图像检索

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摘要

In this paper, a new content-based color image retrieval method is proposed, in which both the color content and the spatial relationship of image have been taken into account. In order to represent the spatial distribution information of image, a disorder matrix, which has the invariance to the rotation and translation of the image content, has been designed. During the actual matching stage, the global color histogram intersection is used firstly to generate candidate image list, Then the disorder matrix representing the spatial information of the image is employed to refine the retrieval result by deleting the dissimilar images from the candidate list. Experimental results with various types of images show that the proposed method not only achieves a high image retrieval performance but also improve the retrieval precision. Furthermore, it is robust even with some rotation and translation cases.
机译:本文提出了一种新的基于内容的彩色图像检索方法,该方法同时考虑了彩色内容和图像的空间关系。为了表示图像的空间分布信息,设计了对图像内容的旋转和平移具有不变性的无序矩阵。在实际匹配阶段,首先使用全局颜色直方图交集生成候选图像列表,然后通过从候选列表中删除不相似图像,使用代表图像空间信息的无序矩阵来细化检索结果。各种图像的实验结果表明,该方法不仅具有较高的图像检索性能,而且提高了检索精度。此外,即使在某些旋转和平移情况下,它也很健壮。

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