基于多尺度边缘链码方向的图像检索算法  

Image Retrieval Algorithm Based on Multi-scale Marginal Chain Code Orientation

作　　者：任璐[1] 

机构地区：[1]皖西学院机械与电子工程系,安徽六安237012

出　　处：《新乡学院学报》2014年第8期42-44,共3页Journal of Xinxiang University

基　　金：六安市定向委托皖西学院市级研究项目(2013LW008)

摘　　要：提出了基于多尺度的边缘链码方向的图像检索算法。首先采用不同的尺度对图像进行轮廓描述,获得多尺度的图像轮廓图;再对不同尺度的轮廓图进行链码方向统计,计算不同链码方向所占的比值,计算均向量;最后利用向量的欧式距离度量相似性。实验结果表明,该算法具有查准率高、检索性能良好等优点。Image retrieval algorithm based on multi-scale marginal chain code orientation was proposed. First, the multi-scale image contour map was obtained by outlining the whole image with different scales. Second, the propor- tion of each orientation was calculated, that was obtained by counting the map of different chain code orientations. And the mean vector was computed. Finally, the vectorial Euclidean distance was used to measure the similarity. Experimental results showed that the algorithm has merits of high precision and retrieval performance.

关 键 词：链码方向 多尺度 图像检索 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]