| 基于内容图像检索的关键技术 |
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| 引用本文： | 左玉龙.基于内容图像检索的关键技术[J].唐山师范学院学报,2012,34(5):47-49. |
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| 作者姓名： | 左玉龙 |
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| 作者单位： | 山东大学计算机科学与技术学院,山东济南250100;临沂大学费县分校,山东费县273400 |
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| 摘 要： | 基于内容的图像检索(CBIR)系统是目前国内外研究的一个热点问题,简要介绍了CBIR技术的发展历程以及主要的原理,重点论述了基于内容的图像检索的关键技术之一——图像像视觉特征的描述与提取.并且通过具体的例子讨论了图像检索性能评价的准则.
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| 关 键 词： | 基于内容 图像检索 视觉特征 相关反馈 检索性能 |
Content- Based Image Retrieval Key Techniques |
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| ZUO Yu-long.Content- Based Image Retrieval Key Techniques[J].Journal of Tangshan Teachers College,2012,34(5):47-49. |
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| Authors: | ZUO Yu-long |
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| Institution: | ZUO Yu-long1,2(1.Computer Science and Technology College of Shandong University,Jinan 250100,China;2.Feixian College of Linyi University,Feixian 273400,China) |
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| Abstract: | Content-based Image Retrieval(CBIR) has been an active research area in recent years.The paper introduced the development and the theory of CBIR briefly,and discussed the important techniques of the representation and extraction of image vision feature.And through specific examples,it discussed the image retrieval performance evaluation criterion. |
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| Keywords: | content-based image retrieval vision feature relevant feedback retrieval performance |
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