摘要
图像匹配是指将2个不同场景的目标或者背景进行匹配的一个过程,是实现复杂的智能图像处理的基础,图像匹配算法的准确性及效率直接关系到整个图像处理系统的性能。特征点提取作为图像匹配的一个关键,是实现图像精准快速匹配的前提,本文以目前应用最为广泛的,鲁棒性最好的SIFT特征点提取算法为基础,对其进行了改进,结合Harris算法有效地降低了图像匹配过程中的特征点提取时间,通过实验验证,该方法可以有效地提升图像匹配的准确性和效率。
The image matching refers to two different scenarios targets or the process to match the background, which is the basis ofrealizing intelligent and complex image processing. Its accuracy and efficiency of image matching algorithm are directly related to theperfor^nance of the entire image processing system. As the key of image matching, feature point extraction is the precondition to achievefast and accurate image matching. So far, SIFT feature extraction algorithm has the most extensive application and the best robustness.Based on this SIFT algorithm, this paper combines with Harris, and effectively reduces the feature point extraction time of the imagematching process. Experiment results demonstrate that the method can effectively improve the accuracy and efficiency of image matching.
出处
《智能计算机与应用》
2016年第3期113-116,共4页
Intelligent Computer and Applications
关键词
SIFT
图像匹配
特征点提取
图像处理
SIFT
image matching
feature point extraction
image processing
