摘要
针对基于SIFT算子的商标图像搜索方法提取特征点耗时过长的问题,提出了一种Harris和SIFT算子相结合的商标图像搜索方法,利用角点计算量小、用时少且特征点分布均匀的优点,能够反映图像内容的结构,具有较好的稳定性。实验结果表明,与基于SIFT和基于Harris特征的商标检索方法相比,该方法既保留了Harris方法提取特征点的高效性,也解决了SIFT方法对特征点提取时间过长的问题,具有实时性。
A new algorithm is proposed based on Harris and SWY, in order to reduce the time of extract features in the method of trademark search based on SIUF. It makes full use of corner features＇ low calculation and less time-consuming,and evenly distribution. They can reflect the structure of the content of the image, also own good stability. As the experimental results show, this method not only retains the efficiency of extract Harris features, but also solves the excessive time on extract SIFT features when compared with the method of trademark search based on SIFT and the method of trade- mark search based on Harrls,and it has well real-time performance.
出处
《电视技术》
北大核心
2014年第3期35-38,共4页
Video Engineering
基金
江西省教育厅科技项目(GJJ10156)
