| 基于潜在语义分析和相关反馈的图像检索方法 |
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| 引用本文： | 杨树极.基于潜在语义分析和相关反馈的图像检索方法[J].电子测试,2011(4):48-51. |
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| 作者姓名： | 杨树极 |
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| 作者单位： | 中北大学电子与计算机科学技术学院; |
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| 摘 要： | 为了解决传统的CBIR系统中存在的"语义鸿沟"问题,提出一种基于潜在语义索引技术(LSI)和相关反馈技术的图像检索方法.在进行图像检索时,先在HSV空间下提取颜色直方图作为底层视觉特征进行图像检索,然后引入潜在语义索引技术试图将底层特征赋予更高层次的语义含义;并且结合相关反馈技术,通过与用户交互进一步提高检索精度.实验...
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| 关 键 词： | 图像检索 语义鸿沟 颜色直方图 潜在语义索引 相关反馈 |
Image retrieval approach based on latent semantic indexing and relevance feedback |
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| Yang Shuji.Image retrieval approach based on latent semantic indexing and relevance feedback[J].Electronic Test,2011(4):48-51. |
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| Authors: | Yang Shuji |
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| Affiliation: | Yang Shuji(School of Electronics and Computer Science,North University of China,ShanXi Taiyuan 030051) |
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| Abstract: | To solve the problem of semantic gap in the traditional CBIR system between content-based system and concept-based user,an image retrieval approach is proposed which is based on latent semantic indexing(LSI) and relevance feedback.In the image retrieval system,visual statistics are captured in vector form using color histogram in HSV color space.The CBIR system takes advantage of the relevance feedback approach to image retrieval and latent semantic indexing(LSI) to improve retrieval performance.The experim... |
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| Keywords: | image retrieval semantic gap color histogram latent semantic indexing relevance feedback |
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