| 基于目标区域定位和特征融合的图像检索算法 |
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| 引用本文： | 李勇,陈贺新,耿晓东,陈绵书,桑爱军. 基于目标区域定位和特征融合的图像检索算法[J]. 吉林大学学报(工学版), 2008, 0(Z2) |
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| 作者姓名： | 李勇 陈贺新 耿晓东 陈绵书 桑爱军 |
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| 作者单位： | 吉林大学通信工程学院; |
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| 基金项目： | 国家自然科学基金项目(60672100,60702036)． |
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| 摘 要： | 提出了一种新的基于局部特征点的图像检索算法。首先将彩色图像转换成灰度图像,并利用Harris算子对灰度图像进行"角点"检测,根据"角点"的分布确定目标区域,然后在彩色图像目标区域中提取图像的颜色特征和空间特征表述图像内容。实验证明,该算法在查准率和查全率上要优于基于全局特征的算法。
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| 关 键 词： | 通信技术 图像检索 特征点检测 特征融合 |
Image retrieval algorithm based on object region location and feature fusion |
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| LI Yong CHEN He-xin GENG Xiao-dong CHEN Mian-shu SANG Ai-jun. Image retrieval algorithm based on object region location and feature fusion[J]. Journal of Jilin University:Eng and Technol Ed, 2008, 0(Z2) |
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| Authors: | LI Yong CHEN He-xin GENG Xiao-dong CHEN Mian-shu SANG Ai-jun |
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| Affiliation: | College of Communication Engineering;Jilin University;Changchun 130022;China |
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| Abstract: | A novel image retrieval algorithm based on local feature points is presented.First,a color image is converted into a grey image,on which the Harris operator is employed to detect corner points,and object region is located according to the distribution information of corner points.Then, the color feature and spatial feature are extracted from the color object region to represent the content of an image.The experiment results show that this algorithm is superior to those algorithms based on global feature wit... |
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| Keywords: | communication image retrieval feature point detection feature fusion |
| 本文献已被 CNKI 等数据库收录！ |
