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多粒度颜色特征在图像检索中的应用
引用本文:许相莉,张利彪,于哲舟,周春光.多粒度颜色特征在图像检索中的应用[J].应用科学学报,2009,27(1).
作者姓名:许相莉  张利彪  于哲舟  周春光
作者单位:吉林大学 计算机科学与技术学院,长春,130012
基金项目:国家自然科学基金,面向21世纪教育振兴行动计划(985计划),the Science and Technology Development Planning Project of Jilin Province,吉林大学面向21世纪教育振兴行动计划(985计划),the Key Laboratory for Symbol Computation and Knowl edge Engineering of the National Education Ministry of China 
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.

关 键 词:多粒度  颜色特征  图像检索

Application of Multi-granularity Color Features in Image Retrieval
XU Xiang-li,ZHANG Li-biao,YU Zhe-zhou,ZHOU Chun-guang.Application of Multi-granularity Color Features in Image Retrieval[J].Journal of Applied Sciences,2009,27(1).
Authors:XU Xiang-li  ZHANG Li-biao  YU Zhe-zhou  ZHOU Chun-guang
Abstract:As the theory of quotient space granularity comput is imported in image retrieval,a novel image re trieval 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.
Keywords:multi-granularity  color feature  image retrieval
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