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Color image retrieval technique based on color features and image bitmap

机译:基于色彩特征和图像位图的彩色图像检索技术

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The field of color image retrieval has been an important research area for several decades. For the purpose of effectively retrieving more similar images from the digital image databases, this paper uses the color distributions, the mean value and the standard deviation, to represent the global characteristics of the image. Moreover, the image bitmap is used to represent the local characteristics of the image for increasing the accuracy of the retrieval system. As the experimental results indicated, the proposed technique indeed outperforms other schemes in terms of retrieval accuracy and category retrieval ability. Furthermore, the total memory space for saving the image features of the proposed method is less than Chan and Liu's method. (c) 2006 Published by Elsevier Ltd.
机译:几十年来,彩色图像检索领域一直是重要的研究领域。为了有效地从数字图像数据库中检索更多相似的图像,本文使用颜色分布,平均值和标准偏差来表示图像的全局特征。此外,图像位图用于表示图像的局部特征,以提高检索系统的准确性。实验结果表明,该技术在检索精度和分类检索能力方面确实优于其他方案。此外,用于保存所提出的方法的图像特征的总存储空间小于Chan和Liu的方法。 (c)2006年由Elsevier Ltd.发布。

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