Affiliation:
1. Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, China
2. China Mining Products Safety Approval and Certification Center, Beijing 100013, China
Abstract
Industrial nameplates serve as a means of conveying critical information and parameters. In this work, we propose a novel approach for rectifying industrial nameplate pictures utilizing a Probabilistic Hough Transform. Our method effectively corrects for distortions and clipping, and features a collection of challenging nameplate pictures for analysis. To determine the corners of the nameplate, we employ a progressive Probability Hough Transform, which not only enhances detection accuracy but also possesses the ability to handle complex industrial scenarios. The results of our approach are clear and readable nameplate text, as demonstrated through experiments that show improved accuracy in model identification compared to other methods.
Funder
National Natural Science Foundation of China
Academic Research Projects of Beijing Union University
Beijing Municipal Education Commission Science and Technology Program
Beijing Union University Research and Innovation Projects for Postgraduates
Academic Human Resources Development in Beijing Union University
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Cited by
2 articles.
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