Advanced Image Registration Method Based on Harris and SIFT Algorithm

SHANG Ming-shu; WANG Ke-chao

Chinese

您当前的位置：

首页 >

文章列表页 >

Advanced Image Registration Method Based on Harris and SIFT Algorithm

更新时间：2026-09-04

- Advanced Image Registration Method Based on Harris and SIFT Algorithm
- Vol. 35, Issue 6, Pages: 132-134(2018)
- 作者机构：
  
  哈尔滨学院机构信息工程学院,黑龙江,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
尚明姝, 王克朝. 一种改进的Harris与SIFT算子结合的图像配准算法[J]. 微电子学与计算机, 2018, 35(6): 132-134, 140.

SHANG Ming-shu, WANG Ke-chao. Advanced Image Registration Method Based on Harris and SIFT Algorithm[J]. 2018, 35(6): 132-134.
尚明姝, 王克朝. 一种改进的Harris与SIFT算子结合的图像配准算法[J]. 微电子学与计算机, 2018, 35(6): 132-134, 140. DOI：

SHANG Ming-shu, WANG Ke-chao. Advanced Image Registration Method Based on Harris and SIFT Algorithm[J]. 2018, 35(6): 132-134. DOI：

摘要

针对SIFT算法提取的特征点过多

运算量大的问题

提出一种Harris和SIFT算子相结合的图像配准算法

首先应用Harris算子提取特征点

然后删除质量较差的特征点; 再为其余特征点分配SIFT特征向量并匹配特征点; 然后利用投票策略提纯匹配点; 最后使用PROSAC改进算法估算变换模型.实验验证了本算法性能.

Abstract

Considering the redundant feature points

high computational complexity in image mosaic method based on scale invariant feature transform (SIFT) algorithm

an advanced image registration method is proposed. At first it uses Harris to extract the feature points from two images. The feature points of low quality are canceled. Then SIFT descriptor is utilized to characterize and match those feature points. The voting strategy based on corners constraint relations is used to delete mismatching points. The advanced PROSAC algorithm is used to compute the transform matrix between the two images. The experiments verify the algorithms efficiency.

关键词

Keywords

references

周峰, 刘辉, 李超峰. SIFT算法在图像配准中的应用[J].办公自动化, 2009, 168(9):40-41. DOI: 40

Cambridge Richard Hartley, Andrew Zisserman. Multiple View Geometry in Computer Vision[M]. Cambridge : Cambridge University Press, 2003, 23-150. DOI: 23

Richard Szeliski. Video mosaics for virtual environments[J]. IEEE Computer Graphics and Applications, 1996, 16(2): 22-30. DOI: 22

Brandt S. Maximum Likehood Robust Regression with Known and Unknown Residual Models[C]// Proceedings of the ECCV Copenhagen, [S.L.]: 2002: 97-102.

冯政寿, 王美清.基于Harris与改进SIFT算法的图像配准算法[J].福州大学学报(自然科学版), 2012, 40(2):176-180. DOI: 176

丁湘楠.基于LDA的SIFT算法在遥感图像配准中的研究与应用[D].江苏, 江苏科技大学, 2014.

许佳佳.结合Harris与SIFT算子的图像快速配准算法[J].中国光学, 2015, 8(4):574-581. DOI: 574

黄友文, 黄雅兰.一种基于Harris与SIFT算子结合的商标搜索方法[J].电视技术, 2014, 38(3):35-38. DOI: 35

李永明.基于Hessian矩阵的边缘检测方法[J].激光, 2014, 35(5):27-33. DOI: 27

王琰, 丁明明.基于熵的柱面全景图拼接算法及其鲁棒性分析[J].小型微型计算机系统, 2007, 28(1):148-150. DOI: 148

庄志国, 孙惠军, 董继扬等.基于角点检测的图像匹配算法及其在图像拼接中的应用[J].厦门大学学报, 2007, 46(4):501-505. DOI: 501

冉秋, 袁超.引入Hessian矩阵尺度极值检测的图像角度特征匹配[J].科技通报, 2014, 30(8):86-88. DOI: 86

刘影, 陆安江, 张正平.基于曲线拟合的SIFT特征精确定位算法[J].通信技术, 2013, 46(1):92-94. DOI: 92

LOWE D G. Distinctive Image Features From Scale-Invariant Keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110. DOI: 91

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Implementation and verification of a dual-chain power gating strategy for low power design

Design of ultra-low power real-time clock circuits

Research on the design of blockchain-based AI-generated content traceability framework

Monte carlo analysis of V-layout trench SiC neutron detector

Steganography model guided by attention mechanism and improved dense convolution

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰