计算机工程2017，Vol.43Issue(9)：263-269,7.DOI:10.3969/j.issn.1000-3428.2017.09.046
基于分数阶变换和改进最小生成树的图像配准算法
Image Registration Algorithm Based on Fractional Order Transformation and Improved Minimum Spanning Tree
摘要
Abstract
In order to improve the accuracy and stability of image registration,a new robust image registration algorithm is proposed in this paper.The Fractional Order Transformation(FOT) is defined to enhance the characteristic information of the image.And the image signal is transformed into the scale space by combining the fractional order and Gauss kernel function,then the image feature points are extracted by scale-invariant feature transform.The Minimum Spanning Tree (MST) is improved to establish the structure relation of feature points for finishing the feature points matching.The random sample consensus algorithm is introduced to reduce mismatching.Experimental results show that this algorithm has higher registration accuracy and robustness compared with the current image registration algorithm based on Harris corners,k-d trees and blocks.关键词
图像配准/分数阶变换/最小生成树/特征配准/随机抽样Key words
image registration/Fractional Order Transformation (FOT)/Minimum Spanning Tree (MST)/feature registration/random sampling分类
信息技术与安全科学引用本文复制引用
韩毅,赵凯,周晏..基于分数阶变换和改进最小生成树的图像配准算法[J].计算机工程,2017,43(9):263-269,7.基金项目
河南省科技计划项目(142102310188). （142102310188）
