摘要
提出了一种新的图像配准方法,该方法基于小波变换将图像进行数据压缩以降低后续特征点检测所需时间,利用多尺度Harris算子检测出特征点集合,采用模糊集缩小对应特征点匹配范围,选取两组匹配误差最小的特征点作为控制点求取仿射变换矩阵,结合变换矩阵即可完成图像的配准。实验表明,本文方法在提高图像配准速度方面具有明显效果,并且同时降低了匹配误差。
A novel method is presented for image registration. Firstly, the image data is compressed based on wavelet transform to decrease the time required for subsequent feature point detection, then multi-scale Harris operator is used for detecting feature point set. Fuzzy sets are adopted to reduce the matching range of corresponding feature points. Two sets of feature points with minimum matching error are selected as the control point for getting an affine transformation matrix. And finally image registration is implemented based on the transformation matrix. Experiments show that this method can improve the speed of image registration obviously while decreasing the matching error.
出处
《电光与控制》
北大核心
2016年第5期45-49,共5页
Electronics Optics & Control
基金
江苏省高校自然科学研究面上项目(15KJD510004)
常州工学院自然科学基金(YN1566)
关键词
图像配准
小波变换
模糊集
仿射变换
image registration
wavelet transform
fuzzy set
affine transformation
