Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data

This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alte...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	de Oliveira, Bernardo C.F. [verfasserIn] Marció, Bruno S. [verfasserIn] Flesch, Rodolfo C.C. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Non-destructive testing Damage characterization Image fusion Pulse-echo ultrasound Tone-burst vibro-acoustography

Übergeordnetes Werk:	Enthalten in: Measurement - Amsterdam [u.a.] : Elsevier Science, 1983, 167
Übergeordnetes Werk:	volume:167

DOI / URN:	10.1016/j.measurement.2020.108445

Katalog-ID:	ELV004790472

Internformat


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100	1		\|a de Oliveira, Bernardo C.F. \|e verfasserin \|0 (orcid)0000-0001-8192-1810 \|4 aut
245	1	0	\|a Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data
264		1	\|c 2020
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338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alternative in this sense since it is easy to use, may provide efficient results, and its processing can be made a posteriori, without the need for raw data. After binarization with a combination of image processing tools, the damages were measured using Hough transform and the measurement errors related to their nominal values were analyzed. Two fusion rules of the algebraic fusion method provided the smallest measurement errors, with values 49% and 39% smaller than the ones of the ultrasound technique which provided the best results in isolation. The improvement in the results encourages the use of the proposed fusion methods in non-destructive testing applications.
650		4	\|a Non-destructive testing
650		4	\|a Damage characterization
650		4	\|a Image fusion
650		4	\|a Pulse-echo ultrasound
650		4	\|a Tone-burst vibro-acoustography
700	1		\|a Marció, Bruno S. \|e verfasserin \|0 (orcid)0000-0003-3712-0084 \|4 aut
700	1		\|a Flesch, Rodolfo C.C. \|e verfasserin \|0 (orcid)0000-0001-9536-5835 \|4 aut
773	0	8	\|i Enthalten in \|t Measurement \|d Amsterdam [u.a.] : Elsevier Science, 1983 \|g 167 \|h Online-Ressource \|w (DE-627)320404927 \|w (DE-600)2000550-7 \|w (DE-576)259484342 \|7 nnns
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936	b	k	\|a 50.21 \|j Messtechnik
951			\|a AR
952			\|d 167

Indexfelder

author_variant	o b c d obc obcd b s m bs bsm r c f rc rcf
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publishDate	2020
allfields	10.1016/j.measurement.2020.108445 doi (DE-627)ELV004790472 (ELSEVIER)S0263-2241(20)30976-3 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl de Oliveira, Bernardo C.F. verfasserin (orcid)0000-0001-8192-1810 aut Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alternative in this sense since it is easy to use, may provide efficient results, and its processing can be made a posteriori, without the need for raw data. After binarization with a combination of image processing tools, the damages were measured using Hough transform and the measurement errors related to their nominal values were analyzed. Two fusion rules of the algebraic fusion method provided the smallest measurement errors, with values 49% and 39% smaller than the ones of the ultrasound technique which provided the best results in isolation. The improvement in the results encourages the use of the proposed fusion methods in non-destructive testing applications. Non-destructive testing Damage characterization Image fusion Pulse-echo ultrasound Tone-burst vibro-acoustography Marció, Bruno S. verfasserin (orcid)0000-0003-3712-0084 aut Flesch, Rodolfo C.C. verfasserin (orcid)0000-0001-9536-5835 aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 167 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:167 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 AR 167
spelling	10.1016/j.measurement.2020.108445 doi (DE-627)ELV004790472 (ELSEVIER)S0263-2241(20)30976-3 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl de Oliveira, Bernardo C.F. verfasserin (orcid)0000-0001-8192-1810 aut Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alternative in this sense since it is easy to use, may provide efficient results, and its processing can be made a posteriori, without the need for raw data. After binarization with a combination of image processing tools, the damages were measured using Hough transform and the measurement errors related to their nominal values were analyzed. Two fusion rules of the algebraic fusion method provided the smallest measurement errors, with values 49% and 39% smaller than the ones of the ultrasound technique which provided the best results in isolation. The improvement in the results encourages the use of the proposed fusion methods in non-destructive testing applications. Non-destructive testing Damage characterization Image fusion Pulse-echo ultrasound Tone-burst vibro-acoustography Marció, Bruno S. verfasserin (orcid)0000-0003-3712-0084 aut Flesch, Rodolfo C.C. verfasserin (orcid)0000-0001-9536-5835 aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 167 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:167 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 AR 167
allfields_unstemmed	10.1016/j.measurement.2020.108445 doi (DE-627)ELV004790472 (ELSEVIER)S0263-2241(20)30976-3 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl de Oliveira, Bernardo C.F. verfasserin (orcid)0000-0001-8192-1810 aut Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alternative in this sense since it is easy to use, may provide efficient results, and its processing can be made a posteriori, without the need for raw data. After binarization with a combination of image processing tools, the damages were measured using Hough transform and the measurement errors related to their nominal values were analyzed. Two fusion rules of the algebraic fusion method provided the smallest measurement errors, with values 49% and 39% smaller than the ones of the ultrasound technique which provided the best results in isolation. The improvement in the results encourages the use of the proposed fusion methods in non-destructive testing applications. Non-destructive testing Damage characterization Image fusion Pulse-echo ultrasound Tone-burst vibro-acoustography Marció, Bruno S. verfasserin (orcid)0000-0003-3712-0084 aut Flesch, Rodolfo C.C. verfasserin (orcid)0000-0001-9536-5835 aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 167 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:167 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 AR 167
allfieldsGer	10.1016/j.measurement.2020.108445 doi (DE-627)ELV004790472 (ELSEVIER)S0263-2241(20)30976-3 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl de Oliveira, Bernardo C.F. verfasserin (orcid)0000-0001-8192-1810 aut Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alternative in this sense since it is easy to use, may provide efficient results, and its processing can be made a posteriori, without the need for raw data. After binarization with a combination of image processing tools, the damages were measured using Hough transform and the measurement errors related to their nominal values were analyzed. Two fusion rules of the algebraic fusion method provided the smallest measurement errors, with values 49% and 39% smaller than the ones of the ultrasound technique which provided the best results in isolation. The improvement in the results encourages the use of the proposed fusion methods in non-destructive testing applications. Non-destructive testing Damage characterization Image fusion Pulse-echo ultrasound Tone-burst vibro-acoustography Marció, Bruno S. verfasserin (orcid)0000-0003-3712-0084 aut Flesch, Rodolfo C.C. verfasserin (orcid)0000-0001-9536-5835 aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 167 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:167 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 AR 167
allfieldsSound	10.1016/j.measurement.2020.108445 doi (DE-627)ELV004790472 (ELSEVIER)S0263-2241(20)30976-3 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl de Oliveira, Bernardo C.F. verfasserin (orcid)0000-0001-8192-1810 aut Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alternative in this sense since it is easy to use, may provide efficient results, and its processing can be made a posteriori, without the need for raw data. After binarization with a combination of image processing tools, the damages were measured using Hough transform and the measurement errors related to their nominal values were analyzed. Two fusion rules of the algebraic fusion method provided the smallest measurement errors, with values 49% and 39% smaller than the ones of the ultrasound technique which provided the best results in isolation. The improvement in the results encourages the use of the proposed fusion methods in non-destructive testing applications. Non-destructive testing Damage characterization Image fusion Pulse-echo ultrasound Tone-burst vibro-acoustography Marció, Bruno S. verfasserin (orcid)0000-0003-3712-0084 aut Flesch, Rodolfo C.C. verfasserin (orcid)0000-0001-9536-5835 aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 167 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:167 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 AR 167
language	English
source	Enthalten in Measurement 167 volume:167
sourceStr	Enthalten in Measurement 167 volume:167
format_phy_str_mv	Article
bklname	Messtechnik
institution	findex.gbv.de
topic_facet	Non-destructive testing Damage characterization Image fusion Pulse-echo ultrasound Tone-burst vibro-acoustography
dewey-raw	660
isfreeaccess_bool	false
container_title	Measurement
authorswithroles_txt_mv	de Oliveira, Bernardo C.F. @@aut@@ Marció, Bruno S. @@aut@@ Flesch, Rodolfo C.C. @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	320404927
dewey-sort	3660
id	ELV004790472
language_de	englisch
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author	de Oliveira, Bernardo C.F.
spellingShingle	de Oliveira, Bernardo C.F. ddc 660 bkl 50.21 misc Non-destructive testing misc Damage characterization misc Image fusion misc Pulse-echo ultrasound misc Tone-burst vibro-acoustography Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data
authorStr	de Oliveira, Bernardo C.F.
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topic_title	660 DE-600 50.21 bkl Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data Non-destructive testing Damage characterization Image fusion Pulse-echo ultrasound Tone-burst vibro-acoustography
topic	ddc 660 bkl 50.21 misc Non-destructive testing misc Damage characterization misc Image fusion misc Pulse-echo ultrasound misc Tone-burst vibro-acoustography
topic_unstemmed	ddc 660 bkl 50.21 misc Non-destructive testing misc Damage characterization misc Image fusion misc Pulse-echo ultrasound misc Tone-burst vibro-acoustography
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title	Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data
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title_full	Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data
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title_sort	enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data
title_auth	Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data
abstract	This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alternative in this sense since it is easy to use, may provide efficient results, and its processing can be made a posteriori, without the need for raw data. After binarization with a combination of image processing tools, the damages were measured using Hough transform and the measurement errors related to their nominal values were analyzed. Two fusion rules of the algebraic fusion method provided the smallest measurement errors, with values 49% and 39% smaller than the ones of the ultrasound technique which provided the best results in isolation. The improvement in the results encourages the use of the proposed fusion methods in non-destructive testing applications.
abstractGer	This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alternative in this sense since it is easy to use, may provide efficient results, and its processing can be made a posteriori, without the need for raw data. After binarization with a combination of image processing tools, the damages were measured using Hough transform and the measurement errors related to their nominal values were analyzed. Two fusion rules of the algebraic fusion method provided the smallest measurement errors, with values 49% and 39% smaller than the ones of the ultrasound technique which provided the best results in isolation. The improvement in the results encourages the use of the proposed fusion methods in non-destructive testing applications.
abstract_unstemmed	This paper proposes the use of image fusion for merging pulse-echo ultrasound and vibro-acoustography data of a metallic sample with machined damages employing algebraic, Boolean, and principal component analysis fusion methods, to enhance the measurement results. Image fusion is an interesting alternative in this sense since it is easy to use, may provide efficient results, and its processing can be made a posteriori, without the need for raw data. After binarization with a combination of image processing tools, the damages were measured using Hough transform and the measurement errors related to their nominal values were analyzed. Two fusion rules of the algebraic fusion method provided the smallest measurement errors, with values 49% and 39% smaller than the ones of the ultrasound technique which provided the best results in isolation. The improvement in the results encourages the use of the proposed fusion methods in non-destructive testing applications.
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title_short	Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data
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author2	Marció, Bruno S. Flesch, Rodolfo C.C.
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Enhanced damage measurement in a metal specimen through the image fusion of tone-burst vibro-acoustography and pulse-echo ultrasound data

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