LLE方法在图像检索中的应用  

One application of LLE in CBIR

作　　者：付媛[1] 邢志栋[1] 董建民[1] 张兰[1] 

机构地区：[1]西北大学数学系,陕西西安710127

出　　处：《高师理科学刊》2009年第3期26-29,共4页Journal of Science of Teachers＇College and University

摘　　要：在基于内容的图像检索中,图像特征的维数往往随着图像特征描述的详尽而剧烈的增加,在建立图像库时高维特征的存储空间度以及度量图像之间相似性的运算复杂度都将非常高.采取一个颜色均匀性谓词对图像进行多层分解来提取图像的颜色特征,在此基础上与LLE算法相结合对图像的高维特征进行降维.实验表明,该相关算法具有较好的性能.In content based image retrieval, the dimension of an feature vector will increase seriously when more details of the image are given. The spratial complexity of high eigenvector＇s storage and operation of computing their similarity will be much higher. An image is decomposed by a color homogeneity predicate to get the feature of color, and LLE is applied to the dimension reduction to reduce both the spatial and operation complexity. Experimental results shown that LLE united with this way of abstract the feature of an image have better results.

关 键 词：基于内容的检索 图像分解 LLE 降维 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]