摘要
鉴于图像信息固有的复杂性和不精确性,引入了模糊化的机理对HSI颜色模型的颜色信息进行模糊量化,得到关于颜色特征的模糊直方图,并应用Robust的视觉采样聚类方法对其进行聚类和匹配,取得了较为满意的结果。
Due to the flexibility and uncertainly of the image information, the single feature color in the HSI color space can be fuzzed into color histogram vector under the fuzzified mechanism. Based on the Robust visual sampling clustering method, the fuzzy color histogram vector can be auto-clustered and the image can therefore be well matched in the color space.
出处
《计算机应用研究》
CSCD
北大核心
2006年第8期186-188,191,共4页
Application Research of Computers
关键词
图像检索
视觉聚类
颜色模糊直方图
颜色匹配
Image Retrieval
Visual Sampling Clustering
Fuzzy Color Histogram
Color Matching
