摘要
在 CBIR应用中 ,经典的颜色直方图方法具有一定的局限性 .根据图象相似匹配中的主观感知特点 ,本文将模糊信息引入图象的颜色分布表示中 ,讨论几种描述图象中颜色分布的模糊直方图模型及其相应的距离度量 .实验表明 ,这些模糊颜色直方图模型具有较好的图象辨别能力 .
The use of color histogram for content based image retrieval(CBIR) is now a classical method, that proved its limitation. In this paper, the introduction of fuzziness, to characterize the subjective perception of human for image matching, is discussed for the color image representation. Several fuzzy color histograms and their corresponding distance measures are presented in detail. The experimental results show that the fuzzy color histograms provide an increased discriminative power compared to standard color histogram based image retrieval technique.
出处
《小型微型计算机系统》
CSCD
北大核心
2001年第7期833-836,共4页
Journal of Chinese Computer Systems
基金
国家863高科技项目基金 (项目编号 86 3-5 11-92 0 -0 0 1)资助
关键词
颜色直方图
模糊量
颜色分布
彩色图象检索
图象数据库
Color image representation and retrieval
Color histogram
Color distribution
Fuzziness
Color image analysis
