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

机译:基于区域色彩矩和小波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:本文提出了三个新的图像特征-区域色彩矩特征(RCM),基于小波的特征和RCM小波特征,它们对于从彩色图像数据库中检索彩色图像很有用。 RCM功能可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局部和全局颜色变化,还可以描述图像中对象的某些地理形状。但是,以上两个功能只能以不同的方式描述图像的内容。因此,本文提出了另一个功能,即RCM小波,它集成了上述两个功能,以提高相似性度量的质量。实验结果表明,基于RCM小波特征的图像检索方法具有相当出色的性能。

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