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基于兴趣点颜色及纹理特征的图像检索算法，通过同类比较，平均检索准确率提高11个百分点。-Based on the interest points and texture features of color image retrieval algorithm, through a similar comparison, the average retrieval accuracy rate of 11 percent improve.
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基于内容的图像信息检索，主要采用小波纹理的方法进行检索。-Content-based image retrieval, mainly using Wavelet texture method to retrieve.
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This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-eq
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基于纹理结构的图像检索，matlab实现。-Texture-based image retrieval, matlab achieve.
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基于纹理特征的图像检索源码，通过双树复小波进行纹理特征提取-Texture-based image retrieval source, through the dual tree complex wavelet texture feature extraction
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