摘要
提出了一种基于支持向量机(Support Vector Machine,SVM)的个性图像检索方法,首先融合符合用户需求的图像的物理特征构造SVM分类器,然后把获得的图像信息提交给分类器进行识别,最后把检索结果返回给用户。实验结果表明,用SVM作为学习机器可以实现对图像的检索分类。
An image detection method based on support vector machine （SVM） was proposed in this paper. First,syncretize the physical features of images to construct SVM classifier,and then the obtained image information is transferred to the classifier to be identified. Finally,the user gets the detection result. The experiment shows that the method could be successfully applied to the search and classification of images.
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2009年第10期127-128,共2页
Journal of Northeast Forestry University
基金
黑龙江省科技攻关重点项目(GB06A107)
黑龙江省青年科学技术专项资金项目(QC06C003)
关键词
支持向量机
特征融合
图像检测
Support vector machine
Feature fusion
Image detection
