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Research of image retrieval based on color and shape features

机译:基于颜色和形状特征的图像检索研究

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A new image retrieval algorithm based on color of image blocks and moment invariant of image was presented. First of all, the image is converted to HSV color space, then the image is separated into sub-blocks, and it gets the color histogram in each block as the image color feature. Meanwhile, it uses seven HU moment invariant and eccentricity to describe shape feature. Finally, the similarity is calculated based on the color histogram of each block and moment invariant. Experiment results show this method is very effective.
机译:提出了一种新的基于图像块颜色和图像矩不变性的图像检索算法。首先,将图像转换为HSV颜色空间,然后将图像分离为子块,并获得每个块中的颜色直方图作为图像颜色特征。同时,它使用七个HU矩不变性和偏心率来描述形状特征。最后,基于每个块的颜色直方图和不变矩来计算相似度。实验结果表明该方法是非常有效的。

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