摘要
SIFT特征是一种性能良好的检测局部的特征,被广泛应用于图像匹配。针对SIFT算法的数据处理量大、运行速度慢、时间复杂度高等问题,提出了一种基于角点精确定位、降低特征维度、增强近似最近邻匹配法的改进算法。实验的结果证明,改进后的算法提高了算法的运行速度和匹配精确度。
SIFT features are a kind of local features with high performance,which are applied widely in the image matching field.However,there are some disadvantages about SIFT algorithm,such as,a large volume of data processing,low running speed,high time complexity and so on.Based on these disadvantages,the paper proposes an improved image matching algorithm based on Harris and SIFT.Experimental results prove that the improved algorithm has higher matching accuracy and less matching time.
出处
《舰船电子工程》
2017年第4期32-34,共3页
Ship Electronic Engineering
