| 基于内容图像检索中的综合特征归一化方法 |
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| 引用本文： | 韩殿元.基于内容图像检索中的综合特征归一化方法[J].潍坊学院学报,2006,6(2):43-45. |
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| 作者姓名： | 韩殿元 |
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| 作者单位： | 潍坊学院,山东,潍坊,261061 |
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| 摘 要： | 传统的基于内容的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征,检索效果往往不够理想。基于综合特征的图像检索应用日益广泛,本文在图像特征向量和在某特征上的相似距离的归一化方面进行了一定的探讨与研究,给出了一种综合特征归一化方法,并将其作为两图像相似性度量依据。
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| 关 键 词： | 基于内容图像检索 相似性度量 归一化 |
| 文章编号： | 1671-4288(2006)02-0043-03 |
| 收稿时间： | 2005-12-24 |
| 修稿时间： | 2005年12月24 |
A Method of Integrated Features Normalization in Content Basd Image Retrieval |
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| HAN Dian-yuan.A Method of Integrated Features Normalization in Content Basd Image Retrieval[J].Journal of Weifang University,2006,6(2):43-45. |
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| Authors: | HAN Dian-yuan |
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| Institution: | Wei fang University, Weifang 261061, China |
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| Abstract: | Traditionally image retrieval mainly relies on single feature such as color,texture,shape and spatial relationship etc,so the result is usually not very good.Today,the integrated features Based Image Retrieval is more and more popular.In this paper,normalization of image eigenvector and similarity distance based on a feature are studied and discussed.a method on normalization of Integrated features is also put forward,it is the basis of similarity measure in two images. |
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| Keywords: | Content Based Image Retrieval Similarity Measures normalized unit |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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