灰度相关图像匹配算法噪声适应性仿真

Research on Adaptability to Noiseof Image Matching Algorithms Based on Intensity Correlation

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。

Abstract:

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.