摘要
文章主要研究基于灰度的图像匹配算法对于图像噪声的适应能力。首先对两种典型的基于灰度的图像匹配算法——ABS（Absolute Balance Search）法和归一化互相关法进行了简要介绍，随后通过仿真实验深入研究了上述两种算法对于图像噪声的适应能力；最后得出了相应的结论。
In this paper, the adaptability to noise of image matching algorithms based on level correlation was mainly studied. Firstly, two representative image matching algorithms based on intensity level correlation were introduced briefly. And then, the two image matching algorithms were analyzed through simulation. At last the paper drew a conclusion.
出处
《海军航空工程学院学报》
2009年第1期62-64,共3页
Journal of Naval Aeronautical and Astronautical University
关键词
图像匹配
灰度相关
图像噪声
计算机仿真
image matching
intensity level correlation
image noise
computer simulation
