| 基于内容的图像检索相关反馈算法的改进 |
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| 引用本文： | 李庆先. 基于内容的图像检索相关反馈算法的改进[J]. 计算技术与自动化, 2007, 26(2): 38-41 |
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| 作者姓名： | 李庆先 |
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| 作者单位： | 湖南省计量检测研究院,湖南,长沙,410014;湖南大学,电气与信息工程学院,湖南,长沙,410082 |
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| 摘 要： | 基于内容的图像检索研究(Content-based Image Retrieval, CBIR)的目的是实现自动地、智能地检索图像,研究的对象是使查询者可以方便、快速、准确地从图像数据库中查找特定图像的方法和技术.本文在改进传统的相关反馈算法基础上,引入可更新的特征库,可以将用户反馈的信息逐步嵌入到这个可更新特征库中.实验结果证实了本文改进算法的有效性.
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| 关 键 词： | 图像检索 纹理 特征提取 相似性度量 相关反馈 |
| 文章编号： | 1003-6199（2007）02-0038-04 |
| 收稿时间： | 2007-04-30 |
| 修稿时间： | 2007-04-30 |
Base on Content-based Image Retrieval Improved for the Feedback Algorithm |
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| LI Qing-xian. Base on Content-based Image Retrieval Improved for the Feedback Algorithm[J]. Computing Technology and Automation, 2007, 26(2): 38-41 |
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| Authors: | LI Qing-xian |
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| Abstract: | The purpose of the research of content-based image retrieval is to realize retrieving images automatically and intelligently.The objects of the research are methods and technology that can help the user retrieve particular images from image database conveniently,quickly and accurately.This thesis improved a conventional relevance feedback algorithm by importing an updatable feature database into the improved algorithm.With this algorithm the system can gradually embed the user's feedback information into the updatable feature database.The results of the experiments show that the method is very efficient. |
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| Keywords: | image retrieval texture feature extraction similarity measure relevance feedback |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
