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A Color Image Retrieval Method Based On Regional Color Moment And Wavelet-Based Features

机译:基于区域颜色时刻和基于小波的特征的彩色图像检索方法

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This paper proposes three new image features — the regional color moment feature (RCM), the wavelet-based feature, and the RCM-wavelet feature, which are useful for retrieving color images from a color image database. The RCM feature characterizes the color-spatial information of images. The wavelet-based feature can describe not only the local and global color variances of pixels, but also some geographic shapes of objects hi an image. However, the two features above can only depict the content of images in different ways. Thus, this paper presents another feature, RCM-wavelet, which integrates both features above to raise the quality of similarity measure. The experimental results demonstrate that the image retrieval method using on the RCM-wavelet feature gives a quite impressive performance.
机译:本文提出了三种新的图像特征 - 区域颜色时刻特征(RCM),基于小波的功能和RCM-小波特征,这对于从彩色图像数据库中检索彩色图像是有用的。 RCM功能表征图像的颜色空间信息。基于小波的特征不仅可以描述像素的本地和全局颜色差异,而且可以描述图像的一些地理形状。然而,上面的两个特征只能以不同方式描绘图像的内容。因此,本文呈现了另一个特征,RCM-小波集成了上面的两个特征来提高相似度测量的质量。实验结果表明,在RCM-小波特征上使用的图像检索方法具有令人印象深刻的性能。

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