多粒度颜色特征在图像检索中的应用(英文)  

Application of Multi-granularity Color Features in Image Retrieval

作　　者：许相莉[1] 张利彪[1] 于哲舟[1] 周春光[1] 

机构地区：[1]吉林大学计算机科学与技术学院,长春130012

出　　处：《应用科学学报》2009年第1期56-61,共6页Journal of Applied Sciences

基　　金：supported by the National Natural Science Foundation of China(No.60433020,No.60673099,No.60773095);the"Computing and Software Science and Technology Innovation Flat"of project 985;the Key Laboratory for Symbol Computation and Knowl-edge Engineering of the National Education Ministry of China(No.02090);the Science and Technology Development Planning Project of Jilin Province(No.20080168);the Jilin University Graduate Innovation Foundation of"Project 985"(No.20080236)

摘　　要：将商空间粒度计算理论引入到了图像检索领域,提出了一种新的图像检索方法。首先针对彩色图像在不同粒度下的表现得到不同粒度下的颜色特征,获得不同的商空间,然后根据商空间粒度合成原理对已得到的商空间进行合成,进而以合成后的属性函数来完成图像检索。与采用单一颜色特征的图像检索方法相比,采用多粒度颜色特征的图像检索方法能够在更大程度上利用图像自身所提供的信息,实验结果验证了该方法的可行性和有效性。As the theory of quotient space granularity comput is imported in image retrieval, a novel image retrieval method using multi-granularity color features is proposed. According to different behaviors under different granularities, one can first obtain color features under different granularities, obtaining different quotient spaces. Second, the obtained quotient spaces are combined based on the quotient space granularity combination principle to achieve image retrieval. Compared with other methods using a single color feature, the image retrieval method based on multi-granularity color features utilizes the image＇s own information more effectively. Experimental results demonstrate feasibility and validity of the proposed method.

关 键 词：多粒度 颜色特征 图像检索 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]