您当前的位置:
首页 >
文章列表页 >
Improved Feature Matching Algorithm Based on K-means Clustering
更新时间:2024-11-19
    • Improved Feature Matching Algorithm Based on K-means Clustering

    • In the field of image stitching, experts use the K-means algorithm to optimize KNN matching, increasing the matching rate by nearly twice, shortening the matching time by about 0.2 seconds, and improving the optimal stitching algorithm to effectively remove the phenomenon of "ghosting" and misalignment in overlapping areas.
    • Software Guide   Vol. 23, Issue 11, Pages: 129-133(2024)
    • DOI:10.11907/rjdk.232075    

      CLC: TP751
    • Received:16 November 2023

      Published:15 November 2024

    移动端阅览

  • MIAO Luxin,YANG Dehong.Improved Feature Matching Algorithm Based on K-means Clustering[J].Software Guide,2024,23(11):129-133. DOI: 10.11907/rjdk.232075.

  •  
  •  

0

Views

97

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

A Homography Matrix Estimation Method Based on Improved RANSAC Algorithm
Improved SLAM Algorithm for Mismatch Elimination

Related Author

LI Jia-Hui
ZHANG Feng-shou
CUI Hao-Yang
SAN Hong-jun
WANG Wang-lin
CHEN Jiu-peng
WANG Chen

Related Institution

College of Mechanical and Electrical Engineering, Henan University of Science and Technology
College of Mechanical and Electrical Engineering and Automation, Shanghai University
Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology
0