摘要
提出一种基于SIFT特征的图像检索算法,将图像转换成特征向量,图像间的相似距离通过两幅图像特征向量间的欧氏距离来计算.实验结果表明该算法应用在特定形状特征目标的检索中有很好的效果.
This paper introduces an image retrieval algorithm based on SIFT feature.The image was transformed feature vecter.The similarity was computed by using Euclidean distance about two images' feature.Experiments show that it has good performance on special object.
出处
《河北建筑工程学院学报》
CAS
2011年第1期97-99,共3页
Journal of Hebei Institute of Architecture and Civil Engineering
