计算技术与自动化2026，Vol.45Issue(1)：97-102,6.DOI:10.16339/j.cnki.jsjsyzdh.202601015
基于Hu矩和SIFT特征的法兰识别
Flange Recognition Based on Hu Moments and Sift Features
朱伟 1张美琪 1李磊 1徐茜茜1
作者信息
- 1. 盐城工学院汽车工程学院,江苏盐城 224000
- 折叠
摘要
Abstract
In order to address the shortcomings of poor rotation invariance and low recognition accuracy of Hu moment matching flanges in two hole flange recognition,an improved Hu moment and SIFT matching is proposed.By applying grayscale and gamma transformation to the image for image enhancement,the influence of reflection on metal workpieces is eliminated.Then,hybrid filtering is used to denoise the image,and finally,the image is recognized.By using the improved Hu moment to perform rough matching on the outer contour,extracting flange holes,and performing local SIFT feature point matching on the holes,violent matching and random consistency are used to reduce mismatched points,thereby identif-ying the target flange.The experimental results show that the improved Hu moment matching can significantly improve the matching accuracy compared to the original Hu moment matching.关键词
二孔法兰识别/SIFT特征匹配/混合滤波/Hu矩匹配Key words
two-hole flange recognition/SIFT feature point matching/hybrid filtering/Hu moment matching分类
信息技术与安全科学引用本文复制引用
朱伟,张美琪,李磊,徐茜茜..基于Hu矩和SIFT特征的法兰识别[J].计算技术与自动化,2026,45(1):97-102,6.
