微粒群算法在图像检索中的应用  

Application of Particle Swarm Optimization Algorithm in Image Retrieval

作　　者：杨文涛[1] 司应硕[1] 

机构地区：[1]郑州航空工业管理学院,河南郑州450046

出　　处：《华北水利水电学院学报》2011年第2期90-92,共3页North China Institute of Water Conservancy and Hydroelectric Power

基　　金：郑州航空工业管理学院青年基金项目(Q09QT04)

摘　　要：基于内容的图像检索技术已成为信息检索中的瓶颈.针对此问题提出了基于微粒群算法的图像检索技术.首先提取图像的颜色特征向量,用特征向量对粒子进行编码,检索图像的过程可以看成是利用微粒群算法在特征空间搜寻最优解的过程.该方法能够有效全面地搜索图片库,改进和提高了传统的基于内容的图像检索算法的性能.The technology of content-based image retrieval has become the bottleneck of information retrieval.The image retrieval technology based on particle group algorithm was proposed aiming at the problem.Firstly,color characteristic vectors of images were extracted.Secondly,particles were coded by characteristic vectors and the process of image retrieval could be regarded as the process of searching for the optimal solution in the feature space by the use of particle swarm algorithm.This method could effectively search photo galleries and improve performances of the traditional content-based image retrieval algorithm.

关 键 词：微粒群算法 基于内容 图像检索 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]