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Square groove detection based on Förstner with canny edge operator using laser vision sensor

Weld seam recognition is critical for providing information for automated welding control, promoting the advancement of welding sensing technology, and improving welding manufacturing automation. The extraction of the square groove’s feature points using a new method is presented in this paper. No...

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Main Authors: Mohd Shah, Hairol Nizam, Nik Anwar, Nik Syahrim, Mohammed Naji, Osamah Abdullah Ahmed, Johan, Nurul Fatiha
Format: Article
Language:English
Published: Springer Nature 2023
Online Access:http://eprints.utem.edu.my/id/eprint/27183/2/0127522122023570.PDF
http://eprints.utem.edu.my/id/eprint/27183/
https://link.springer.com/article/10.1007/s00170-023-10862-y
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spelling my.utem.eprints.271832024-06-26T11:43:00Z http://eprints.utem.edu.my/id/eprint/27183/ Square groove detection based on Förstner with canny edge operator using laser vision sensor Mohd Shah, Hairol Nizam Nik Anwar, Nik Syahrim Mohammed Naji, Osamah Abdullah Ahmed Johan, Nurul Fatiha Weld seam recognition is critical for providing information for automated welding control, promoting the advancement of welding sensing technology, and improving welding manufacturing automation. The extraction of the square groove’s feature points using a new method is presented in this paper. Noise is produced in signifcant quantities due to the difcult method used to acquire the weld image. To process images, a specifc method must be utilized. In this work, the central line of the laser stripe is extracted based on Canny edge detection with Haralicks facet model. Based on the central line, the Förstner algorithm is used to recognize the corner points of the square weld groove. Following the establishment of a test platform, a series of detection tests for various sizes of the square groove is established. The acquired detection results are sufciently accurate, with maximum relative errors of less than 3.19%, demonstrating the rationale of the suggested visual sensor’s physical design and the validity of the proposed detection algorithms Springer Nature 2023-01 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27183/2/0127522122023570.PDF Mohd Shah, Hairol Nizam and Nik Anwar, Nik Syahrim and Mohammed Naji, Osamah Abdullah Ahmed and Johan, Nurul Fatiha (2023) Square groove detection based on Förstner with canny edge operator using laser vision sensor. International Journal of Advanced Manufacturing Technology, 125 (5-6). pp. 2885-2894. ISSN 0268-3768 https://link.springer.com/article/10.1007/s00170-023-10862-y 10.1007/s00170-023-10862-y
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Weld seam recognition is critical for providing information for automated welding control, promoting the advancement of welding sensing technology, and improving welding manufacturing automation. The extraction of the square groove’s feature points using a new method is presented in this paper. Noise is produced in signifcant quantities due to the difcult method used to acquire the weld image. To process images, a specifc method must be utilized. In this work, the central line of the laser stripe is extracted based on Canny edge detection with Haralicks facet model. Based on the central line, the Förstner algorithm is used to recognize the corner points of the square weld groove. Following the establishment of a test platform, a series of detection tests for various sizes of the square groove is established. The acquired detection results are sufciently accurate, with maximum relative errors of less than 3.19%, demonstrating the rationale of the suggested visual sensor’s physical design and the validity of the proposed detection algorithms
format Article
author Mohd Shah, Hairol Nizam
Nik Anwar, Nik Syahrim
Mohammed Naji, Osamah Abdullah Ahmed
Johan, Nurul Fatiha
spellingShingle Mohd Shah, Hairol Nizam
Nik Anwar, Nik Syahrim
Mohammed Naji, Osamah Abdullah Ahmed
Johan, Nurul Fatiha
Square groove detection based on Förstner with canny edge operator using laser vision sensor
author_facet Mohd Shah, Hairol Nizam
Nik Anwar, Nik Syahrim
Mohammed Naji, Osamah Abdullah Ahmed
Johan, Nurul Fatiha
author_sort Mohd Shah, Hairol Nizam
title Square groove detection based on Förstner with canny edge operator using laser vision sensor
title_short Square groove detection based on Förstner with canny edge operator using laser vision sensor
title_full Square groove detection based on Förstner with canny edge operator using laser vision sensor
title_fullStr Square groove detection based on Förstner with canny edge operator using laser vision sensor
title_full_unstemmed Square groove detection based on Förstner with canny edge operator using laser vision sensor
title_sort square groove detection based on förstner with canny edge operator using laser vision sensor
publisher Springer Nature
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/27183/2/0127522122023570.PDF
http://eprints.utem.edu.my/id/eprint/27183/
https://link.springer.com/article/10.1007/s00170-023-10862-y
_version_ 1802981610207838208
score 13.211869

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