| 基于分块直方图和共生矩阵的图像检索方法 |
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| 引用本文： | 李伟芳,滕奇志,汪华章.基于分块直方图和共生矩阵的图像检索方法[J].电子测量技术,2009(1):1-4. |
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| 作者姓名： | 李伟芳 滕奇志 汪华章 |
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| 作者单位： | 四川大学电子信息学院图像信息研究所,成都,610064 |
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| 摘 要： | 提出了一种基于分块直方图和共生矩阵相结合的图像检索方法。传统的基于颜色直方图特征的图像检索方法简单且易于实现，但是失去了颜色的空间分布信息。分块直方图法根据图像目标和背景的不同，将图像分成意义不同的8个子块，充分利用了图像分块的特点，改善了颜色特征缺乏空间信息的缺点。共生矩阵法根据不同图像间共生矩阵的差别来实现图像检索。最后，综合利用上述两个特征对图像进行共同检索。实验表明：综合2种特征检索图像比单一特征检索效果更好。
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| 关 键 词： | 基于内容的图像检索 分块直方图 共生矩阵 |
Image retrieval based on blocked histograms and co-occurrence matrix |
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| Li Weifang,Teng Qizhi,Wang Huazhang.Image retrieval based on blocked histograms and co-occurrence matrix[J].Electronic Measurement Technology,2009(1):1-4. |
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| Authors: | Li Weifang Teng Qizhi Wang Huazhang |
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| Affiliation: | Image Information Institute;Department of electronics and information;Sichuan University;Chengdu 610064 |
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| Abstract: | A new method for image retrieval which was based on both blocked histograms and co-occurrence matrix was proposed.It was easy to perform for traditional image retrieval based on color histogram,however,its space distribution information was lost.Blocked histograms method was a feature extraction method based on the differences between the object and background,which divided the image into 8 different sub-blocks.This method amended the disadvantage of lacking spatial information of common color feature.The c... |
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| Keywords: | Content Based Image Retrieval （CBIR） blocked histograms matrix |
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