机构地区: 宁波大学信息科学与工程学院
出 处: 《计算机工程与应用》 2005年第2期36-39,74,共5页
摘 要: 提出一种基于Sugeno模糊积分的模糊相似度量并用于图像检索中。文章用模糊测度来描述人的主观反馈。试验表明该文的方法可以大大提高图像检索系统的效率和稳定性,在反馈后的表现要优于加权平均方法(WAO)和采用Choquet积分(CI)的方法。 In this paper,we propose a fuzzy similarity measure based on Sugeno fuzzy integral and apply it to Content-Based Image Retrieval.Fuzzy measure is used to reflect human subjective feedback.Experimental results show that the proposed method can improve the efficiency and the stability of image retrieval system.The behavior of the method in feedback is better than WAO(weighted average operator)and Choquet Integral-based similarity measure.