| 基于颜色信息熵和多尺度纹理特征的图像检索 |
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| 引用本文： | 卡米力·木依丁,孙世然,刘文华,艾斯卡尔·艾木都拉.基于颜色信息熵和多尺度纹理特征的图像检索[J].计算机工程与应用,2012,48(15):187-191. |
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| 作者姓名： | 卡米力·木依丁 孙世然 刘文华 艾斯卡尔·艾木都拉 |
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| 作者单位： | 1.新疆大学 信息科学与工程学院，乌鲁木齐 830046
2.69223部队
3.69230部队 |
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| 基金项目： | 国家自然科学基金(No.61065001);新疆维吾尔自治区科技厅少数民族特殊培养计划项目(No.201023116) |
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| 摘 要： | 颜色特征采用分块的HSV颜色空间的信息熵，纹理特征采用小波多尺度高频子带方差特征，结合遗传算法的图像检索方法。采用组合特征进行图像检索，改善了颜色特征缺乏空间信息的缺点，利用遗传算法能够自适应地搜索最优解，减少了在相关反馈的检索过程中，用户的选择操作。通过比较实验，具有很好的检索性能。
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| 关 键 词： | 图像检索 基于内容的图像检索（CBIR） 信息熵 多尺度纹理特征 遗传算法 自适应 |
Block information entropy and multi-scale texture based adaptive algorithm for image retrieval |
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| Kamil MOYDIN
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SUN Shiran
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LIU Wenhua
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Askar HAMDULLA.Block information entropy and multi-scale texture based adaptive algorithm for image retrieval[J].Computer Engineering and Applications,2012,48(15):187-191. |
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| Authors: | Kamil MOYDIN SUN Shiran LIU Wenhua Askar HAMDULLA |
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| Affiliation: | 1.Institute of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
2.Unit 69223 of PLA
3.Unit 69230 of PLA |
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| Abstract: | An approach is proposed based on image color and texture features combined with genetic algorithm, where in color moments are the color histogram entropy values and the variances of the multiscale high frequency sub-bands of wavelet domain. This method amends the disadvantage of lacking spatial information of common color feature. The more important aspect is that this method cuts down the work of users’while using relevant feedback by using the selfadaptive character of Genetic Algorithm. By comparative experiments, the experiments show that the approach has good retrieval performance. |
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| Keywords: | image retrieval Content Based Image Retrieva(lCBIR) information entropy multi-scale texture genetic algorithm adaptive |
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