Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter

In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wang, Ziyin [verfasserIn] Yang, Kai [verfasserIn] Huang, Haisong [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Contour extraction Gabor filtering Texture feature extraction Resistance spot welding Nugget cross-section

Übergeordnetes Werk:	Enthalten in: Measurement - Amsterdam [u.a.] : Elsevier Science, 1983, 199
Übergeordnetes Werk:	volume:199

DOI / URN:	10.1016/j.measurement.2022.111448

Katalog-ID:	ELV008254435

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520			\|a In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. Experiments showed that the improved Gabor filtering algorithm reduced the runtime by an order of magnitude and improved the performance of the nugget cross-sectional contour extraction method, with an accuracy of 98.61% for a root-mean-square-error threshold of 5 pixels.
650		4	\|a Contour extraction
650		4	\|a Gabor filtering
650		4	\|a Texture feature extraction
650		4	\|a Resistance spot welding
650		4	\|a Nugget cross-section
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allfields	10.1016/j.measurement.2022.111448 doi (DE-627)ELV008254435 (ELSEVIER)S0263-2241(22)00676-5 DE-627 ger DE-627 rda eng 660 VZ 50.21 bkl Wang, Ziyin verfasserin aut Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. Experiments showed that the improved Gabor filtering algorithm reduced the runtime by an order of magnitude and improved the performance of the nugget cross-sectional contour extraction method, with an accuracy of 98.61% for a root-mean-square-error threshold of 5 pixels. Contour extraction Gabor filtering Texture feature extraction Resistance spot welding Nugget cross-section Yang, Kai verfasserin aut Huang, Haisong verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 199 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:199 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik VZ AR 199
spelling	10.1016/j.measurement.2022.111448 doi (DE-627)ELV008254435 (ELSEVIER)S0263-2241(22)00676-5 DE-627 ger DE-627 rda eng 660 VZ 50.21 bkl Wang, Ziyin verfasserin aut Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. Experiments showed that the improved Gabor filtering algorithm reduced the runtime by an order of magnitude and improved the performance of the nugget cross-sectional contour extraction method, with an accuracy of 98.61% for a root-mean-square-error threshold of 5 pixels. Contour extraction Gabor filtering Texture feature extraction Resistance spot welding Nugget cross-section Yang, Kai verfasserin aut Huang, Haisong verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 199 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:199 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik VZ AR 199
allfields_unstemmed	10.1016/j.measurement.2022.111448 doi (DE-627)ELV008254435 (ELSEVIER)S0263-2241(22)00676-5 DE-627 ger DE-627 rda eng 660 VZ 50.21 bkl Wang, Ziyin verfasserin aut Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. Experiments showed that the improved Gabor filtering algorithm reduced the runtime by an order of magnitude and improved the performance of the nugget cross-sectional contour extraction method, with an accuracy of 98.61% for a root-mean-square-error threshold of 5 pixels. Contour extraction Gabor filtering Texture feature extraction Resistance spot welding Nugget cross-section Yang, Kai verfasserin aut Huang, Haisong verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 199 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:199 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik VZ AR 199
allfieldsGer	10.1016/j.measurement.2022.111448 doi (DE-627)ELV008254435 (ELSEVIER)S0263-2241(22)00676-5 DE-627 ger DE-627 rda eng 660 VZ 50.21 bkl Wang, Ziyin verfasserin aut Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. Experiments showed that the improved Gabor filtering algorithm reduced the runtime by an order of magnitude and improved the performance of the nugget cross-sectional contour extraction method, with an accuracy of 98.61% for a root-mean-square-error threshold of 5 pixels. Contour extraction Gabor filtering Texture feature extraction Resistance spot welding Nugget cross-section Yang, Kai verfasserin aut Huang, Haisong verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 199 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:199 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik VZ AR 199
allfieldsSound	10.1016/j.measurement.2022.111448 doi (DE-627)ELV008254435 (ELSEVIER)S0263-2241(22)00676-5 DE-627 ger DE-627 rda eng 660 VZ 50.21 bkl Wang, Ziyin verfasserin aut Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. Experiments showed that the improved Gabor filtering algorithm reduced the runtime by an order of magnitude and improved the performance of the nugget cross-sectional contour extraction method, with an accuracy of 98.61% for a root-mean-square-error threshold of 5 pixels. Contour extraction Gabor filtering Texture feature extraction Resistance spot welding Nugget cross-section Yang, Kai verfasserin aut Huang, Haisong verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 199 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:199 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik VZ AR 199
language	English
source	Enthalten in Measurement 199 volume:199
sourceStr	Enthalten in Measurement 199 volume:199
format_phy_str_mv	Article
bklname	Messtechnik
institution	findex.gbv.de
topic_facet	Contour extraction Gabor filtering Texture feature extraction Resistance spot welding Nugget cross-section
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authorswithroles_txt_mv	Wang, Ziyin @@aut@@ Yang, Kai @@aut@@ Huang, Haisong @@aut@@
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author	Wang, Ziyin
spellingShingle	Wang, Ziyin ddc 660 bkl 50.21 misc Contour extraction misc Gabor filtering misc Texture feature extraction misc Resistance spot welding misc Nugget cross-section Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter
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topic_title	660 VZ 50.21 bkl Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter Contour extraction Gabor filtering Texture feature extraction Resistance spot welding Nugget cross-section
topic	ddc 660 bkl 50.21 misc Contour extraction misc Gabor filtering misc Texture feature extraction misc Resistance spot welding misc Nugget cross-section
topic_unstemmed	ddc 660 bkl 50.21 misc Contour extraction misc Gabor filtering misc Texture feature extraction misc Resistance spot welding misc Nugget cross-section
topic_browse	ddc 660 bkl 50.21 misc Contour extraction misc Gabor filtering misc Texture feature extraction misc Resistance spot welding misc Nugget cross-section
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title	Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter
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title_full	Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter
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title_sort	resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved gabor filter
title_auth	Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter
abstract	In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. Experiments showed that the improved Gabor filtering algorithm reduced the runtime by an order of magnitude and improved the performance of the nugget cross-sectional contour extraction method, with an accuracy of 98.61% for a root-mean-square-error threshold of 5 pixels.
abstractGer	In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. Experiments showed that the improved Gabor filtering algorithm reduced the runtime by an order of magnitude and improved the performance of the nugget cross-sectional contour extraction method, with an accuracy of 98.61% for a root-mean-square-error threshold of 5 pixels.
abstract_unstemmed	In resistance spot welding (RSW), the accurate, rapid extraction of the nugget cross-sectional contour and geometric modeling enables the quantification of the cross-section’s characteristic parameters. In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. Experiments showed that the improved Gabor filtering algorithm reduced the runtime by an order of magnitude and improved the performance of the nugget cross-sectional contour extraction method, with an accuracy of 98.61% for a root-mean-square-error threshold of 5 pixels.
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title_short	Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter
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doi_str	10.1016/j.measurement.2022.111448
up_date	2024-07-06T19:04:19.053Z
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In this paper, an improved Gabor filter–based method for the contour extraction of an RSW nugget cross-section is proposed that combines the characteristics of the nugget cross-section with complex textures in multiple directions, the high overlap of gray values with the base material, and high noise. First, the shape of the filter kernel is reconstructed and the multi-directional texture features obtained. Then, a hybrid contour extraction strategy is designed. Finally, the geometric model of the nugget contour is established. 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Resistance spot welding nugget cross-sectional contour extraction and geometric modeling based on the improved Gabor filter

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