摘要
运用颜色、形状、纹理等特征的基于内容图像检索技术,采用在分类方面具有全局优化、适应性强、理论完备、训练时间短、推广性能好等优点的支持向量机,进行图像分类,较好地实现图像检索的目的,并以舰船图像为例进行了验证,结果表明,支持向量机在图像检索中具有很好的应用效果。
Image retrieval is carried out using content-based image retrieval technology revolving color,shape, texture and other features,adopting SVM,a classification method,with advantages such as global optimization, strong adaptability ,maturity theory, less training time and good generalization. The results show that support vector machine has good effect on image retrieval.
出处
《宿州学院学报》
2012年第8期41-43,共3页
Journal of Suzhou University
关键词
支持向量机
核函数
图像检索
support vector machine
kernel function
image retrieval
