| 互信息在图像检索中的应用 |
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| 引用本文： | 范自柱,刘二根,徐保根.互信息在图像检索中的应用[J].电子科技大学学报(社会科学版),2007(6). |
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| 作者姓名： | 范自柱 刘二根 徐保根 |
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| 作者单位： | 华东交通大学基础科学学院 南昌330013 |
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| 基金项目： | 国家自然科学基金(10661007)，江西省自然基金(0611009) |
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| 摘 要： | 提出了一种新的相似性图像检索方法,它利用信息熵理论,分别对图像的颜色、形状和纹理特征进行描述,给出一个综合的相似性匹配算法。该方法首先分割图像,把一幅图像划分为若干子区域,抽取图像的主要形状和统计其所含的角度信息;然后利用信息熵计算图像之间的颜色、形状和纹理互信息。试验结果表明与其他方法相比,新的相似性图像检索方法具有更好的图像检索效果。
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| 关 键 词： | 特征描述 信息熵 互信息 纹理 |
Application of Mutual Information in Image Retrieval |
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| FAN Zi-zhu,LIU Er-gen,XU Bao-gen.Application of Mutual Information in Image Retrieval[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2007(6). |
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| Authors: | FAN Zi-zhu LIU Er-gen XU Bao-gen |
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| Abstract: | In this paper, a new content-based image retrieval method is proposed. By using the information entropy theory, the method describes the color, shape, and texture features of images, respectively. An integrated similarity match algorithm is presented. Firstly, an image is segmented into several sub-areas, and the angle information of the shape is computed after shape extracted from the image. Secondly, mutual information of color, shape, and texture among images is computed using information entropy. Compared with the other algorithms, experiments indicate that this approach has the advantages of good effect. |
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