基于边界特征增强的模糊图像配准

二维特征点的检测和提取是进行图像配准的关键技术。由于不同传感器的成像机理不同,检测和提取的方法也有所不同。针对模糊图像的弱点,分析了通过增强象素模糊属性对比度来提取边界特征的基本原理,实现了两幅图像的配准。计算机模拟实验结果也表明了在实现模糊图像配准的过程中,采用增强象素模糊属性对比度的方法可有效解决图像的边界特征提取问题而且具有较高的配准精度。

Fuzzy Image Registration Based on Edge Feature Enhancement

The detection and extraction of feature points are the basis technology in image registration.This technique should be modified in order to serve the different imaging in the solution of the whole problem better.Aiming at the disadvantage of fuzzy image,by making some analysis about extracting edge feature based on fuzzy contrast enhancement algorithm,two images registration is achieved.The experiment also shows that extracting edge feature based on fuzzy contrast enhancement is effective in image registration,and it has higher registration precision.