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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Content-based image retrieval using OWA fuzzy linking histogram
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Content-based image retrieval using OWA fuzzy linking histogram

机译:使用OWA模糊链接直方图的基于内容的图像检索

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摘要

Content-based image retrieval (CBIR), as a well-known retrieval method, has been widely used in various applications. The basis of this method is on features like color, texture and shape. Color image histograms are very useful tools for this purpose. As these kinds of histograms results with large variations between neighboring bins, they seem so sensitive to any kind of changes such as noise, illumination, etc. To overcome this problem, fuzzy linking histogram based on OWA aggregation operator is proposed, which is capable of projecting 3-dimensional (L~*a~*b~*) color histograms into single-dimension. The proposed method have been evaluated and compared with five other methods in retrieving similar images from the common database. The experimental results, reveals better performance of the proposed method in comparison with the other mentioned methods.
机译:基于内容的图像检索(CBIR)作为一种众所周知的检索方法,已广泛用于各种应用程序中。此方法的基础是颜色,纹理和形状等特征。彩色图像直方图是用于此目的的非常有用的工具。由于这些直方图的结果在相邻箱之间有很大的变化,因此它们似乎对任何类型的变化(如噪声,照度等)都非常敏感。为克服此问题,提出了基于OWA聚合算子的模糊链接直方图,该直方图能够将3维(L〜* a〜* b〜*)颜色直方图投影为一维。在从公用数据库中检索相似图像时,已对提出的方法进行了评估,并与其他五种方法进行了比较。实验结果表明,与其他方法相比,该方法具有更好的性能。

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