Binocular measurement method for the continuous casting slab model based on the improved BRISK algorithm

Author:

Xu Sixiang1ORCID,Dong Chenchen1,Zhou Shuhua1,Zhang Hao1

Affiliation:

1. Anhui University of Technology

Abstract

Due to the low accuracy of the traditional image feature matching algorithm in binocular vision measurement, a binocular measurement method for the continuous casting slab model based on the improved binary robust invariant scalable keypoints (BRISK) algorithm is proposed. First, the feature points of the image are detected. After that, local area sampling and sub-area division are carried out with the feature points as the center, sub-areas with low offset values are removed, and the main direction is obtained by using the centroid of the remaining sub-areas. Then, the gray difference threshold is used to replace the traditional gray value intensity comparison to generate descriptors. Finally, the Hamming distance is used to match the feature points, and the three-dimensional coordinates of the matching points are calculated to complete the measurement. Through comparative experiments, the lowest relative error of the improved algorithm in this paper reaches 0.4723%, which meets the requirement of measurement accuracy.

Funder

National Natural Science Foundation of China

Open Fund Project of Anhui Key Laboratory of Special Heavy-Duty Robot

The Key Project of Natural Research in Colleges and Universities in Anhui Province

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference21 articles.

1. Distinctive Image Features from Scale-Invariant Keypoints

2. BRISK: Binary robust invariant scalable keypoints;Leutenegger,2011

3. ORB: an efficient alternative to SIFT or SURF;Rublee,2011

4. Fast explicit diffusion for accelerated features in nonlinear scale spaces;Pablo,2013

5. AGAST: adaptive and generic corner detection based on the accelerated segment test;Mari,2010

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3