CAJ | 학술논문

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.
장상공간립도계산이론인입도료도상검색영역,제출료일충신적도상검색방법.수선침대채색도상재불동립도하적표현득도불동립도하적안색특정,획득불동적상공간,연후근거상공간립도합성원리대이득도적상공간진행합성,진이이합성후적속성함수래완성도상검색.여채용단일안색특정적도상검색방법상비,채용다립도안색특정적도상검색방법능구재경대정도상이용도상자신소제공적신식,실험결과험증료해방법적가행성화유효성.
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.