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Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement

Tool safety is an important part of machining and machine tool safety, and machine tool path image detection can effectively obtain the in-machine condition of a tool. To obtain an accurate image edge and improve image processing accuracy, a novel subpixel edge detection method is proposed in this s...

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Detalles Bibliográficos
Autores principales: Zhang, Xi, Guo, Zixie, Liu, Xiangwei, Zhang, Longjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433006/
https://www.ncbi.nlm.nih.gov/pubmed/34512745
http://dx.doi.org/10.1155/2021/7270908
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author Zhang, Xi
Guo, Zixie
Liu, Xiangwei
Zhang, Longjia
author_facet Zhang, Xi
Guo, Zixie
Liu, Xiangwei
Zhang, Longjia
author_sort Zhang, Xi
collection PubMed
description Tool safety is an important part of machining and machine tool safety, and machine tool path image detection can effectively obtain the in-machine condition of a tool. To obtain an accurate image edge and improve image processing accuracy, a novel subpixel edge detection method is proposed in this study. The precontour is segmented by binarization, the second derivative in the neighborhood of the demand point is calculated, and the obtained value is sampled according to the specified rules for curve fitting. The point whose curve ordinate is 0 is the subpixel position. The experiment proves that an improved subpixel edge can be obtained. Results show that the proposed method can extract a satisfactory subpixel contour, which is more accurate and reliable than the edge results obtained by several current pixel-level operators, such as the Canny operator, and can be used in edge detection with high-accuracy requirements, such as the contour detection of online tools.
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spelling pubmed-84330062021-09-11 Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement Zhang, Xi Guo, Zixie Liu, Xiangwei Zhang, Longjia Comput Intell Neurosci Research Article Tool safety is an important part of machining and machine tool safety, and machine tool path image detection can effectively obtain the in-machine condition of a tool. To obtain an accurate image edge and improve image processing accuracy, a novel subpixel edge detection method is proposed in this study. The precontour is segmented by binarization, the second derivative in the neighborhood of the demand point is calculated, and the obtained value is sampled according to the specified rules for curve fitting. The point whose curve ordinate is 0 is the subpixel position. The experiment proves that an improved subpixel edge can be obtained. Results show that the proposed method can extract a satisfactory subpixel contour, which is more accurate and reliable than the edge results obtained by several current pixel-level operators, such as the Canny operator, and can be used in edge detection with high-accuracy requirements, such as the contour detection of online tools. Hindawi 2021-09-03 /pmc/articles/PMC8433006/ /pubmed/34512745 http://dx.doi.org/10.1155/2021/7270908 Text en Copyright © 2021 Xi Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Xi
Guo, Zixie
Liu, Xiangwei
Zhang, Longjia
Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement
title Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement
title_full Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement
title_fullStr Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement
title_full_unstemmed Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement
title_short Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement
title_sort research on subpixel algorithm of fixed-point tool path measurement
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433006/
https://www.ncbi.nlm.nih.gov/pubmed/34512745
http://dx.doi.org/10.1155/2021/7270908
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