An image matching algorithm based on difference measure and improved SIFT algorithm

被引：0

作者：

Gao, Qiang ^{[1
]}

Yang, Hongye ^{[1
]}

Yang, Wu ^{[1
]}

机构：

[1] School of Electrical and Electronic Engineering, North China Electric Power University, Baoding

来源：

Journal of Information and Computational Science | 2014年 / 11卷 / 10期

关键词：

Difference; Feature matching; Image; Membership; SIFT;

D O I：

10.12733/jics20104641

中图分类号：

学科分类号：

摘要：

In this paper, detailed process of Scale-invariant Feature Transformation (SIFT) algorithm is analyzed. For its weaknesses, the difference measure theory is introduced, and then a new improved method is proposed. At first, the gray value matrix of image is converted to the difference value matrix based on the knowledge of fuzzy membership. The non-linear relationship between human eye sensitivity and differences of image gray value changes into a linear relationship. And then SIFT feature points are extracted and matched based on the difference value of pixel. The experimental results based on standard image datasets demonstrate that, this method can reduce the complexity of the algorithm and improve the matching rate at the same time; the efficiency of the algorithm is also improved. 1548-7741/Copyright © 2014 Binary Information Press.

引用

页码：3631 / 3642

页数：11

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