带调控机制和SVM的IGA的在人脸图像检索的应用  

A Face Image Retrieval Method Based on Improved IGA with Adjust Function and SVM

作　　者：石硕[1] 李久仲[1] 林莉[2] 

机构地区：[1]广东轻工职业技术学院计算机工程系,广东广州510300 [2]重庆广播电视大学南川分校,408400

出　　处：《微计算机信息》2007年第20期54-56,共3页Control & Automation

摘　　要：在目标图像未知的情况下,人脸图像检索具有特殊性。用户要在人脸图像库中找出符合某些特征的图像,比如找出与记忆吻合或者吻合度高的某个图像,这就要求问题的解必须是全局最优的,并且不允许丢失最优解。本文提出一种带调控机制和支持向量机的交互式遗传算法来防止最优解丢失,加速算法收敛,减轻用户疲劳从而改善和提高检索性能。Face image retrieval has particularity under the situation that the target is unknown. If the image that match some features or fit to the one in memory wants to be find out in the human image database, the request solution must be global optimum, and does not lose the optimal one. In this paper the interactive genetic algorithm incorporating with adjust function and support vector ma- Chine is put forward to keep optimum solution from lose, speed the convergence, alleviate user fatigue, improve and raise retrieval performance,

关 键 词：调控机制 交互式遗传算法 支持向量机 图像检索 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]