Improved SIFT Algorithm for Image Matching

WANG Tian-jia; LIU Guo-rong

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Improved SIFT Algorithm for Image Matching

更新时间：2026-09-04

- Improved SIFT Algorithm for Image Matching
- Vol. 28, Issue 5, Pages: 184-188(2011)
- 作者机构：
  
  西安交通大学电子与信息工程学院,陕西,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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王田甲, 刘国荣. SIFT改进算法在图像配准中的应用[J]. 微电子学与计算机, 2011, 28(5): 184-188.

WANG Tian-jia, LIU Guo-rong. Improved SIFT Algorithm for Image Matching[J]. 2011, 28(5): 184-188.
王田甲, 刘国荣. SIFT改进算法在图像配准中的应用[J]. 微电子学与计算机, 2011, 28(5): 184-188. DOI：

WANG Tian-jia, LIU Guo-rong. Improved SIFT Algorithm for Image Matching[J]. 2011, 28(5): 184-188. DOI：

摘要

文中对尺度不变特征变换 (SIFT) 算法进行分析研究

针对原算法中128维的高维描述子提出60维方形邻域描述子

统计邻域梯度信息.方形邻域描述子较原算法增加了邻域像素统计范围

增强了关键点的邻域信息;在配准阶段采用欧氏距离作为度量函数

用次临近与最邻近之比来对60维描述子进行匹配.通过实验证实

改进算法的匹配时间是原算法的30%~60%

配准精度与原算法相近

对于复杂图像的配准精度较原算法有所提高

适用于对实时性要求较高的图像配准场合.

Abstract

The principal of SIFT algorithm is researched in this paper.Due to the descriptor that one feature point needs 128 dimensions

a 60-dimension-square descriptor based on statistic local gradient information is taken forth.Comparing with the orignal one

the new descriptor expands the scope of neighborhood pixels;the ratio between the first and second closest distance is used to match the 60-dimension descriptors.According to the experiment

the results show that matching time is greatly shortened by 30%~60%;and the new descriptor is competitive with SIFT descriptor in effectiveness.Further more

the new descriptor exhibits good performance in more complicated images.Therefore

it is more suitable in real-time applications.

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