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Image Retrieval Algorithm Based on Texture and Color Features

机译:基于纹理和颜色特征的图像检索算法

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摘要

A novel image retrieval algorithm based on texture and color feathers was proposed. Firstly, the image was divided into non-overlapped blocks with equal size, and every pixel was given a new value (0 or 1) according to different color, then do the second division to the whole image and coding new blocks, counting the probability of every code and primary color. Finally, texture and color feathers method was applied in image retrieval. Experimental results show that the proposed algorithm has reasonable and robust performance and is more effective.
机译:提出了一种新的基于纹理和颜色羽毛的图像检索算法。首先,将图像分成大小相等的非重叠块,并根据不同的颜色为每个像素赋予新值(0或1),然后对整个图像进行第二次划分并编码新块,计算概率每个代码和原色。最后,将纹理和颜色羽化方法应用于图像检索。实验结果表明,该算法具有较好的鲁棒性和有效性。

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