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一种基于HSV颜色空间的图像检索技术
随着大规模数字图像库的出现，基于内容的图像检索技术（CBIR）应运而生。而颜色特征是在图像检索中应用最为广泛的视觉特征，因此设计并实现一个基于颜色的图像检索系统具有一定的前沿性和实用性-an HSV color space-based image retrieval technology with the massive digital image library there. Content-Based Image Retrieval (CBIR) c
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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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The colors features based on overall histogram
neglecting images’ spacial information may be imprecise
in image retrieval, since different image may has same
histogram. Two color features with special information
based on image fixed segmenta
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图像处理研究审论文基于分块主色调和纹理特征的彩色图像检索-Image processing of paper based on the trial block main color and texture features of color image retrieval
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研究论文基于颜色和纹理特征图像检索技术的研究-Research papers based on color and texture features of image retrieval techniques
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基于颜色特征的图像检索系统
可以根据颜色来进行图像的检索-Based on color features image retrieval system
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图像检索——提取颜色特征：HSV空间颜色直方图(将RGB空间转化为HSV空间并进行非等间隔量化，将三个颜色分量表示成一维矢量，再计算其直方图作为颜色特征。-Image Retrieval- extract color features: HSV space color histogram (RGB space into the HSV space and the non-interval to quantify the three color components expressed as a
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实现了一个由颜色特征和纹理特征进行加权组合的图像检索系统-To achieve a color features and texture features from the weighted combination of image retrieval system
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Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
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Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
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Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
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Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
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Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
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Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
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Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
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基于颜色与纹理特征的图像检索技术，中北大学硕士毕业设计论文-Image retrieval based on color and texture features, in North University master' s graduate design thesis
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本程序基于opencv可以提取图片的颜色直方图特征，可用于图像检索中作为颜色特征-This procedure is based on opencv can extract the image color histogram features, can be used as color features in image retrieval
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基于颜色与形状特征的图像检索系统，颜色直方图，傅里叶形状描述子，不变矩。-Image retrieval system based on color and shape features
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Image Retrieval Based On Color and Texture Features
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有关基于内容的图像检索中，全局检索的，颜色特征的检索-About content-based image retrieval, global search and the color retrieval features. .
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