• Contentbased image retrieval is a hotspot in the research of multimedia database system and digital library.

    基于内容的图像检索技术是当前多媒体数据库系统和数字图书馆研究中的一个热点。

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  • The method is more flexible and accurate to describe the color feature of an image and improves the image retrieval precision.

    实验结果表明,该方法实现简单,能够更加灵活、准确地描述图像的颜色特征,从而有效提高了图像检索的准确率。

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  • Automatic linguistic indexing of pictures is an important but highly challenging problem for researchers in content-based image retrieval.

    图片自动语义标注是基于内容图像检索中很重要且很有挑战性的工作。

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  • The experimental results show that this method has high retrieval precision and resists cutting or rotating operations, and is suitable for document image retrieval.

    实验结果表明,该方法具有很高的查准率,并对剪切、旋转操作表现出很好的稳定性,适合文档图像检索。

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  • Can be used for image retrieval.

    可用于图像检索。

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  • This paper proposes an image retrieval system based on IGA.

    提出了一种基于交互式遗传算法的图像检索模型。

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  • With the deep research on image retrieval, some new problems come after.

    随着对图像检索技术的深入研究,新的问题也随之而来。

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  • In this paper, a new image retrieval algorithm based on color is proposed.

    提出了一种新的基于颜色的图像检索算法。

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  • A new image retrieval method based on object region is presented in this paper.

    该文提出一种基于目标区域的图像检索方法。

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  • As information is vast, the query speed in image retrieval system is important.

    图像检索因信息量巨大,查询速度至关重要。

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  • An image retrieval method based on user selected region of interest was proposed.

    提出了一种基于用户选择感兴趣区域的图像检索方法。

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  • Color quantization is an important method of image retrieval based on color feature.

    颜色量化是基于颜色特征的图像检索的一个重要方法。

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  • A new image retrieval algorithm based on block edge patterns was proposed in this paper.

    提出一种利用块边缘模式来进行图像检索的方法。

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  • To cure the above problems, this paper presents a novel shape based image retrieval algorithm.

    针对以上问题,该文提出了一种新的基于形状的图象检索算法。

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  • A new image retrieval algorithm based on the main color and shape of image blocks was presented.

    提出一种新的基于分块主色和形状特征的图像检索算法。

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  • Firstly, this paper presents the trademark image retrieval method based on distance distribution histogram.

    首先,本文提出了基于距离分布直方图的商标图像检索方法。

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  • Relevance feedback algorithm based on support vector machine and rough set for image retrieval is approached.

    研究基于支持向量机和粗糙集的相关反馈图像检索算法。

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  • Shape feature extraction and description are one of important research topics in content-based image retrieval.

    形状特征提取和表示是基于内容图像检索的重要研究内容之一。

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  • In this paper, an approach to color-based image retrieval based on histogram combined with color block is proposed.

    提出了一种基于颜色直方图与颜色块相结合的图像检索的新方法。

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  • A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.

    针对图像检索中的语义鸿沟问题,提出了一种新颖的自动图像标注方法。

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  • The statistical features of the texture images is computed directly from DCT coefficients, and used for image retrieval.

    该方法在DCT压缩域,通过直接对DCT系数计算,获得图像纹理的统计特征,并作为检索的依据。

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  • In order to improve the performance of retrieval, relevance feedback technology has been introduced into image retrieval.

    为了提高检索性能,将相关反馈技术引入图像检索。

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  • The hue singularity of HSV and its influence on image retrieval under the low saturation and the low value were analyzed.

    介绍了HSV在低饱和度和低亮度时的色调奇异性,分析了HSV的色调奇异性对图像检索的影响。

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  • An image retrieval algorithm based on region-of-interest is proposed in this paper aiming at covering those two shortages.

    针对上述两者的缺点,文中提出了一种基于用户感兴趣区域的图像检索算法。

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  • The preparation of typical coating corrosion samples and common frame of grey histogram-based image retrieval are presented.

    提出了典型镀层腐蚀试样的制备及利用灰度直方图来检索腐蚀图像的一般框架。

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  • Experimental results show that this method based on digital watermark can protect the copyright and realize image retrieval.

    实验结果表明,基于数字水印的图像检索方法能保护数字作品的版权并实现图像检索。

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  • Fractal coding has been proved useful for image compression, and it is also proved effective for content-based image retrieval.

    分形编码在图像压缩方面取得了很好的效果,同时也能够用于基于内容的图像检索。

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  • Then the main class features and the main block features of the image are extracted which can also be used for image retrieval.

    在自动分割模式下,我们讨论了如何提取图像的主类特征和主块特征用于图像检索。

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  • Then the main class features and the main block features of the image are extracted which can also be used for image retrieval.

    在自动分割模式下,我们讨论了如何提取图像的主类特征和主块特征用于图像检索。

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