| 低层特征融合的图像检索算法设计 |
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| 引用本文： | 刘海建,余元辉. 低层特征融合的图像检索算法设计[J]. 电脑开发与应用, 2013, 0(4): 44-46,50 |
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| 作者姓名： | 刘海建 余元辉 |
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| 作者单位： | 集美大学航海学院;集美大学计算机工程学院 |
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| 基金项目： | 福建省科技厅高校专项科研基金资助项目(JK2012026) |
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| 摘 要： | 现阶段基于单一的特征提取算法已不能满足人们对图像查准率、查全率的要求。有效地整合图像的颜色、纹理、形状等特征,使得各特征优势互补,进而提高系统检索效率现已成为一个值得研究并深入的课题[1]。从颜色、纹理两方面的特征出发,研究并设计了一整套的方案,很好的解决了查准率、查全率等问题。
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| 关 键 词： | 颜色特征 GLCM CBIR 特征融合 归一化 |
Design of Image Retrieval Algorithm With Low-level Feature Fusion |
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| LIU Hai-jian,YU Yuan-hui. Design of Image Retrieval Algorithm With Low-level Feature Fusion[J]. Computer Development & Applications, 2013, 0(4): 44-46,50 |
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| Authors: | LIU Hai-jian YU Yuan-hui |
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| Affiliation: | 1.Navigation of Jimei University,Xiamen 361000,China,2.Computer Engineering of Jimei University,Xiamen 361000,China) |
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| Abstract: | At present,based on single feature extraction algorithm already cannot satisfy the requirements of precision rate and recall rate.The effective integration of image color,texture,shape characteristics,have complementary advantages,and improve the retrieval efficiency system that becomes a worthy of study and in-depth topic now.From color,texture characteristics,this paper researchs and designs a set of solutions that solve the precision rate and recall rate problems. |
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| Keywords: | color features GLCM CBIR feature fusion normalization |
| 本文献已被 CNKI 等数据库收录！ |
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