An improved BRISK-FREAK-based algorithm combined with LSD algorithm for complex pointer meter identification

IF 1.4 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Iet Science Measurement & Technology Pub Date : 2024-07-21 DOI:10.1049/smt2.12204

Zhiniu Xu, Xiaonan Wu, Yuxuan Liu, Lina Zhao, Lijuan Zhao, Shipeng Song, Ruilei Cui

{"title":"An improved BRISK-FREAK-based algorithm combined with LSD algorithm for complex pointer meter identification","authors":"Zhiniu Xu, Xiaonan Wu, Yuxuan Liu, Lina Zhao, Lijuan Zhao, Shipeng Song, Ruilei Cui","doi":"10.1049/smt2.12204","DOIUrl":null,"url":null,"abstract":"<p>To locate and read the complex pointer meter dial for the images with uneven illumination, blurred dial, and tilted dial, this paper firstly proposes an improved BRISK-FREAK algorithm for dial position. Then, combined with the Line Segment Detector (LSD) algorithm, an automatic identification method for complex pointer meter is proposed. The dial of a large number of SF<sub>6</sub> complex pressure pointer meter images are located and the results reveal that the proposed improved BRISK-FREAK algorithm has good adaptability under strong interference. The computational speed of the proposed algorithm is 33% and 17% higher than the Scale-Invariant Feature Transform (SIFT) algorithm and the Binary Robust Invariant Scalable Keypoints (BRISK) algorithm respectively. The positioning success rate of the proposed algorithm is 40%, 64%, and 32% higher than that of the SIFT, Oriented FAST and Rotated BRIEF (ORB) and BRISK algorithms respectively. The reading success rate of the proposed method is 94.5%, which is 19.5%, 39.9% and 14.8% higher than that of the methods based on the ORB, SIFT and BRISK algorithms respectively. It is particularly suitable for application in the actual substations to realize the identification of complex pointer meters.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"18 9","pages":"471-480"},"PeriodicalIF":1.4000,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12204","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Science Measurement & Technology","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/smt2.12204","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

To locate and read the complex pointer meter dial for the images with uneven illumination, blurred dial, and tilted dial, this paper firstly proposes an improved BRISK-FREAK algorithm for dial position. Then, combined with the Line Segment Detector (LSD) algorithm, an automatic identification method for complex pointer meter is proposed. The dial of a large number of SF₆ complex pressure pointer meter images are located and the results reveal that the proposed improved BRISK-FREAK algorithm has good adaptability under strong interference. The computational speed of the proposed algorithm is 33% and 17% higher than the Scale-Invariant Feature Transform (SIFT) algorithm and the Binary Robust Invariant Scalable Keypoints (BRISK) algorithm respectively. The positioning success rate of the proposed algorithm is 40%, 64%, and 32% higher than that of the SIFT, Oriented FAST and Rotated BRIEF (ORB) and BRISK algorithms respectively. The reading success rate of the proposed method is 94.5%, which is 19.5%, 39.9% and 14.8% higher than that of the methods based on the ORB, SIFT and BRISK algorithms respectively. It is particularly suitable for application in the actual substations to realize the identification of complex pointer meters.

Abstract Image

查看原文本刊更多论文

基于 BRISK-FREAK 的改进算法与 LSD 算法相结合，用于复杂指针式仪表的识别

为了在光照不均、表盘模糊和表盘倾斜的图像中定位和读取复杂指针式仪表表盘，本文首先提出了一种改进的表盘位置 BRISK-FREAK 算法。然后，结合线段检测器（LSD）算法，提出了一种复杂指针表的自动识别方法。对大量 SF6 复杂压力指针表的表盘图像进行了定位，结果表明所提出的改进 BRISK-FREAK 算法在强干扰下具有良好的适应性。与尺度不变特征变换（SIFT）算法和二进制鲁棒不变可扩展关键点（BRISK）算法相比，所提算法的计算速度分别提高了 33% 和 17%。与 SIFT 算法、定向 FAST 和旋转 BRIEF 算法（ORB）以及 BRISK 算法相比，拟议算法的定位成功率分别高出 40%、64% 和 32%。拟议方法的读取成功率为 94.5%，比基于 ORB、SIFT 和 BRISK 算法的方法分别高出 19.5%、39.9% 和 14.8%。它特别适合在实际变电站中应用，以实现对复杂指针式电表的识别。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Iet Science Measurement & Technology 工程技术-工程：电子与电气

CiteScore

4.30

自引率

7.10%

发文量

审稿时长

7.5 months

期刊介绍： IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques. The major themes of the journal are: - electromagnetism including electromagnetic theory, computational electromagnetics and EMC - properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale - measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.