Defect Detection Image Processing Technology Based on Swarm Intelligence Optimization Algorithm

The swarm intelligence optimization algorithm has obtained good results in practical application in the field of image processing with defect detection, and it has become the focus and hot spot of attention and research in the field of image processing. In this paper, the application of ALO as the r...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series Vol. 2400; no. 1; pp. 12031 - 12037
Main Authors: Zhang, Kui, Zhu, Shan
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.12.2022
Subjects:
Algorithms
Defects
Image enhancement
Image processing
Optimization
Optimization algorithms
Perturbation
Physics
Swarm intelligence
ISSN:1742-6588, 1742-6596
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract The swarm intelligence optimization algorithm has obtained good results in practical application in the field of image processing with defect detection, and it has become the focus and hot spot of attention and research in the field of image processing. In this paper, the application of ALO as the representative of the relevant swarm intelligence optimization algorithm is studied to address the problems and shortcomings of image processing technology in the field of object defect detection. By extracting typical defect detection image samples, the effect of the application of the algorithm in sample processing is systematically studied. In addition, the introduction of perturbation strategy and inertia weights in ALO effectively improves the search performance of the algorithm. Finally, this paper analyzes the performance comparison between the commonly used defect detection image processing techniques and the algorithm in this paper by establishing comparative verification experiments. The experimental results show that the image processing strategy constructed in this paper has significant application advantages in the dimensions of image enhancement and image processing applicability.
AbstractList The swarm intelligence optimization algorithm has obtained good results in practical application in the field of image processing with defect detection, and it has become the focus and hot spot of attention and research in the field of image processing. In this paper, the application of ALO as the representative of the relevant swarm intelligence optimization algorithm is studied to address the problems and shortcomings of image processing technology in the field of object defect detection. By extracting typical defect detection image samples, the effect of the application of the algorithm in sample processing is systematically studied. In addition, the introduction of perturbation strategy and inertia weights in ALO effectively improves the search performance of the algorithm. Finally, this paper analyzes the performance comparison between the commonly used defect detection image processing techniques and the algorithm in this paper by establishing comparative verification experiments. The experimental results show that the image processing strategy constructed in this paper has significant application advantages in the dimensions of image enhancement and image processing applicability.
Author Zhu, Shan
Zhang, Kui
Author_xml – sequence: 1
  givenname: Kui
  surname: Zhang
  fullname: Zhang, Kui
  organization: Shanghai Normal University Tianhua College , China
– sequence: 2
  givenname: Shan
  surname: Zhu
  fullname: Zhu, Shan
  organization: Shanghai Normal University Tianhua College , China
BookMark eNqFkF1LwzAUhoNMcJv-BgveCbVJ-pVczs2PyWCDzeuQpUmX0TY16ZD5622tTATBc3MOnPd9D-cZgUFlKgnANYJ3CBISoDTCfhLTJMARhAEKIMIwRGdgeNoMTjMhF2Dk3B7CsK10CNhMKikabyabtmlTefOS59JbWSOkc7rKvY0Uu8oUJj9699zJzGtF63duS29eNbIodC4rIb1l3ehSf_CvkEmRG6ubXXkJzhUvnLz67mPw-viwmT77i-XTfDpZ-AKnEfKzDCu0jeIwRQmhFFGRJVssFOZcRHEGVda-SgWOuFQki8MtpYLHOI4TzAlBKhyDmz63tubtIF3D9uZgq_Ykw2kcwYQgQltV2quENc5ZqVhtdcntkSHIOpqs48Q6ZqyjyRDrabbOsHdqU_9E_--6_cP1spqufwtZnanwE-kBhlw
Cites_doi 10.1016/j.inffus.2012.01.007
10.1016/j.chaos.2009.01.012
10.1016/j.chemolab.2017.11.018
10.1007/s40031-017-0296-2
10.1016/j.ijhydene.2019.04.039
ContentType Journal Article
Copyright Published under licence by IOP Publishing Ltd
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: Published under licence by IOP Publishing Ltd
– notice: Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID O3W
TSCCA
AAYXX
CITATION
8FD
8FE
8FG
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BGLVJ
CCPQU
DWQXO
H8D
HCIFZ
L7M
P5Z
P62
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
DOI 10.1088/1742-6596/2400/1/012031
DatabaseName Institute of Physics Open Access Journal Titles
IOPscience (Open Access)
CrossRef
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
Advanced Technologies & Computer Science Collection
ProQuest Central Essentials - QC
ProQuest Central
ProQuest Technology Collection
ProQuest One Community College
ProQuest Central Korea
Aerospace Database
SciTech Collection (ProQuest)
Advanced Technologies Database with Aerospace
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
Proquest Central Premium
ProQuest One Academic (New)
ProQuest Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
DatabaseTitle CrossRef
Publicly Available Content Database
Advanced Technologies & Aerospace Collection
Technology Collection
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest Central China
ProQuest Central
Advanced Technologies & Aerospace Database
ProQuest One Applied & Life Sciences
Aerospace Database
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Central (New)
ProQuest One Academic
Advanced Technologies Database with Aerospace
ProQuest One Academic (New)
DatabaseTitleList Publicly Available Content Database
CrossRef
Database_xml – sequence: 1
  dbid: O3W
  name: Institute of Physics Open Access Journal Titles
  url: http://iopscience.iop.org/
  sourceTypes:
    Enrichment Source
    Publisher
– sequence: 2
  dbid: PIMPY
  name: ProQuest Publicly Available Content Database
  url: http://search.proquest.com/publiccontent
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Physics
EISSN 1742-6596
ExternalDocumentID 10_1088_1742_6596_2400_1_012031
JPCS_2400_1_012031
GroupedDBID 1JI
29L
2WC
4.4
5B3
5GY
5PX
5VS
7.Q
AAJIO
AAJKP
ABHWH
ACAFW
ACHIP
AEFHF
AEJGL
AFKRA
AFYNE
AIYBF
AKPSB
ALMA_UNASSIGNED_HOLDINGS
ARAPS
ASPBG
ATQHT
AVWKF
AZFZN
BENPR
BGLVJ
CCPQU
CEBXE
CJUJL
CRLBU
CS3
DU5
E3Z
EBS
EDWGO
EQZZN
F5P
FRP
GROUPED_DOAJ
GX1
HCIFZ
HH5
IJHAN
IOP
IZVLO
J9A
KNG
KQ8
LAP
N5L
N9A
O3W
OK1
P2P
PIMPY
PJBAE
RIN
RNS
RO9
ROL
SY9
T37
TR2
TSCCA
UCJ
W28
XSB
~02
AAYXX
AEINN
AFFHD
CITATION
OVT
PHGZM
PHGZT
PQGLB
8FD
8FE
8FG
ABUWG
AZQEC
DWQXO
H8D
L7M
P62
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
ID FETCH-LOGICAL-c2741-dd2f1b45371689919cd6b2cf2aac45d0fd0889c24aef8d53b99ca525562a881f3
IEDL.DBID O3W
ISSN 1742-6588
IngestDate Fri Jul 25 05:21:55 EDT 2025
Sat Nov 29 02:51:22 EST 2025
Wed Dec 21 00:39:29 EST 2022
Wed Aug 21 03:32:22 EDT 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c2741-dd2f1b45371689919cd6b2cf2aac45d0fd0889c24aef8d53b99ca525562a881f3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink https://iopscience.iop.org/article/10.1088/1742-6596/2400/1/012031
PQID 2754068189
PQPubID 4998668
PageCount 7
ParticipantIDs proquest_journals_2754068189
crossref_primary_10_1088_1742_6596_2400_1_012031
iop_journals_10_1088_1742_6596_2400_1_012031
PublicationCentury 2000
PublicationDate 20221201
PublicationDateYYYYMMDD 2022-12-01
PublicationDate_xml – month: 12
  year: 2022
  text: 20221201
  day: 01
PublicationDecade 2020
PublicationPlace Bristol
PublicationPlace_xml – name: Bristol
PublicationTitle Journal of physics. Conference series
PublicationTitleAlternate J. Phys.: Conf. Ser
PublicationYear 2022
Publisher IOP Publishing
Publisher_xml – name: IOP Publishing
References Neogi (JPCS_2400_1_012031bib8) 2017; 98
Li (JPCS_2400_1_012031bib5) 2021; 28
Zeng (JPCS_2400_1_012031bib4) 2020; 52
Huang (JPCS_2400_1_012031bib11) 2020; 66
Chun (JPCS_2400_1_012031bib7) 2017; 36
Gong (JPCS_2400_1_012031bib6) 2018; 172
De (JPCS_2400_1_012031bib2) 2018; 14
Coelho (JPCS_2400_1_012031bib1) 2019; 42
Gong (JPCS_2400_1_012031bib9) 2018; 172
Hao (JPCS_2400_1_012031bib10) 2020; 45
Zhongqiang (JPCS_2400_1_012031bib3) 2020; 41
References_xml – volume: 66
  start-page: 519
  year: 2020
  ident: JPCS_2400_1_012031bib11
  article-title: A review of image segmentation methods [J]
  publication-title: Journal of Wuhan University (Science Edition)
– volume: 14
  start-page: 136
  year: 2018
  ident: JPCS_2400_1_012031bib2
  article-title: Multi-focus image fusion using a morphology-based focus measure in a; quad-tree structure[J]
  publication-title: Information Fusion
  doi: 10.1016/j.inffus.2012.01.007
– volume: 42
  start-page: 522
  year: 2019
  ident: JPCS_2400_1_012031bib1
  article-title: Differential evolution optimization combined with chaotic sequences for image contrast enhancement [J]
  publication-title: Chaos Solitons & Fractals
  doi: 10.1016/j.chaos.2009.01.012
– volume: 36
  start-page: 308
  year: 2017
  ident: JPCS_2400_1_012031bib7
  article-title: Surface defect segmentation of cold rolled very thin strip under threshold decomposition [J]
  publication-title: Mechanical Science and Technology
– volume: 52
  start-page: 36
  year: 2020
  ident: JPCS_2400_1_012031bib4
  article-title: Mutation motion tracking based on dynamic weight grasshopper optimization algorithm [J]
  publication-title: Journal of Zhengzhou University (Science Edition)
– volume: 172
  start-page: 109
  year: 2018
  ident: JPCS_2400_1_012031bib6
  article-title: Steel surface defect classification using multiple hyper-spheres support vector machine with additional information [J]
  publication-title: Chemometrics and Intelligent Laboratory Systems
  doi: 10.1016/j.chemolab.2017.11.018
– volume: 172
  start-page: 109
  year: 2018
  ident: JPCS_2400_1_012031bib9
  article-title: Steel surface defect classification using multiple hyper-spheres support vector machine with additional information [J]
  publication-title: Chemometrics and Intelligent Laboratory Systems
  doi: 10.1016/j.chemolab.2017.11.018
– volume: 41
  start-page: 1536
  year: 2020
  ident: JPCS_2400_1_012031bib3
  article-title: Parameter identification of photovoltaic cell model based on improved locust optimization algorithm [J]
  publication-title: Journal of Metrology
– volume: 98
  start-page: 557
  year: 2017
  ident: JPCS_2400_1_012031bib8
  article-title: Defect detection of steel surfaces with global adaptive percentile thresholding of gradient image [J]
  publication-title: Journal of the Institution of Engineers (India): Series B.
  doi: 10.1007/s40031-017-0296-2
– volume: 28
  start-page: 451
  year: 2021
  ident: JPCS_2400_1_012031bib5
  article-title: Enhancement and segmentation methods for strip steel surface defect images [J]
  publication-title: Control Engineering
– volume: 45
  start-page: 5309
  year: 2020
  ident: JPCS_2400_1_012031bib10
  article-title: Experimental study of hydrogen-enriched compressed natural gas (HCNG) engine and application of support vector machine (SVM) on prediction of engine performance at specific condition [J]
  publication-title: International Journal of Hydrogen Energy
  doi: 10.1016/j.ijhydene.2019.04.039
SSID ssj0033337
Score 2.3339863
Snippet The swarm intelligence optimization algorithm has obtained good results in practical application in the field of image processing with defect detection, and it...
SourceID proquest
crossref
iop
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 12031
SubjectTerms Algorithms
Defects
Image enhancement
Image processing
Optimization
Optimization algorithms
Perturbation
Physics
Swarm intelligence
SummonAdditionalLinks – databaseName: Advanced Technologies & Aerospace Database
  dbid: P5Z
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bS8MwFA5ewRfv4nRKQB8NW9O0TZ9kbg4nMgdeEF9CLo0K7uI29e970qXMIeiDfWwPJfRLzy3fOQehY5VArGMMJSrSkjBGGZFaa0K11XEaKx3mzarvr5J2mz88pB2fcBt5WmWhE3NFbfra5cgrNAHfIgbzkp4O3oibGuVOV_0IjXm06LokuNENneix0MQhXMmkIJISsLS84HdB0OfvpXHFkSgrQcUVkYbBjHWaf-kPfqjo3O401_674nW06j1OXJtskQ00l_U20XLO_NSjLSQamWN04EY2zllZPdzqgo7BvoIALBuept_xGRg9g0Ho5lMOu7j1raEnvgbt0_Vlnbj2-gRrGT93t9Fd8_y2fkH81AWiXSsbAsDZQLEohEgKgrEg1SZWAB2VUrPIVK1xzChNmcwsN1Go0lTLyHUyo5LzwIY7aKHX72W7CCvDEyutZc4tY8zIRGWpibWEl_JEJSVULb62GEyaa4j8UJxz4QASDiDhABKBmABUQieAivA_2uhv8aMZ8ctO_WZWQgyMLaFygeBUdArf3u-P99EKdTUROceljBbGw_fsAC3pj_HLaHiY78gveQ7jkg
  priority: 102
  providerName: ProQuest
Title Defect Detection Image Processing Technology Based on Swarm Intelligence Optimization Algorithm
URI https://iopscience.iop.org/article/10.1088/1742-6596/2400/1/012031
https://www.proquest.com/docview/2754068189
Volume 2400
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIOP
  databaseName: Institute of Physics Open Access Journal Titles
  customDbUrl:
  eissn: 1742-6596
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0033337
  issn: 1742-6588
  databaseCode: O3W
  dateStart: 20040101
  isFulltext: true
  titleUrlDefault: http://iopscience.iop.org/
  providerName: IOP Publishing
– providerCode: PRVPQU
  databaseName: Advanced Technologies & Aerospace Database
  customDbUrl:
  eissn: 1742-6596
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0033337
  issn: 1742-6588
  databaseCode: P5Z
  dateStart: 20040801
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/hightechjournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 1742-6596
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0033337
  issn: 1742-6588
  databaseCode: BENPR
  dateStart: 20040801
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Publicly Available Content Database
  customDbUrl:
  eissn: 1742-6596
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0033337
  issn: 1742-6588
  databaseCode: PIMPY
  dateStart: 20040801
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1bS8MwFA7qFHzxLs7LCOijdTZN2_Rx04kTncXr9CXk0ujAXeim_n1P2g4dIiLYh1LKSRu-pOectN93itCeDGGtozVxpK-EQymhjlBKOUQZFUSBVF5WrPruPGy1WLsdTWhh-oPC9R_AYV4oOIewIMSxKuTQxAn8KKha_mPVrVr9p5VSlzwG0Rzm9KV3P_bGHmxhLoq0jRgbc7x-vtBEhJqGXnxz01nsOVn8j14voYUi88S1vMUymkp6K2guY4Cq4Srix4llduDjZJSxs3q42QVfgwslAUQ4_PkaHtch-GkMRtfvIu3i5pfCnvgSvFC3kHfi2stTP-2Mnrtr6PakcXN06hR_X3CULWnjwAAaV1LfgxUVLMrcSOlAwhASIRT19aHRliGlCBWJYdr3ZBQp4duKZkQw5hpvHc30-r1kA2GpWWiEMdSmZ5RqEcok0oEScFEWyrCMDseI80FeZINnH8cZ4xY3bnHjFjfu8hy3MtoHpHnxwA1_N9-dMD-Lj64nLfhAmzLaHg_0pykJIakNIK-JNv92zy00T6xWIuO-bKOZUfqa7KBZ9TbqDNMKKtUbrfiqks1W2Mf-I5yLmxfxwwdAF-S2
linkProvider IOP Publishing
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bTxQxFD6BBYMvKqhhFbWJ-EazTKcz03kwBlkJA8uyCZfgU-1lCiTuxd1V4p_yN3o6l6wbEnnigXmcOWk606_n65l-5xRgUycY61jLqI6MopwzTpUxhjLjTJzG2oRFserzTtLtiouLtLcAf-pcGC-rrH1i4ajt0Ph_5C2W4NoiRnpJP41-UH9qlN9drY_QKGFxmP--wZBt8jFr4_h-YGzvy-nuPq1OFaDGl2qh2DEXaB6FGClgsBGkxsYau8aUMjyy28565Y9hXOVO2CjUaWpU5Ct1MSVE4EJsdxGWuAd7A5Z62VHva-37Q7ySMgWTUeR2USvKMMys7qVxy8s2W0HLp62GwRwfLl4PR7dIoWC6vacP7Rs9gyfVmprslJNgFRbywRo8KrStZvIcZDv3mhXSzqeF7mxAsj56UVLlSCB3k9kGA_mMtG4JGp3cqHGfZP-ULCXH6F_7VeIq2fl-ie8-veq_gLN7ebuX0BgMB_k6EG1F4pRz3C88Obcq0XlqY6OwUZHopAnb9ejKUVk-RBbb_kJIDwjpASE9IGQgS0A0YQtRICtXMrnb_P2c-UFv92TeQo6sa8JGjZiZ6Qwur_7_-B2s7J8edWQn6x6-hsfMZ4AUip4NaEzHP_M3sGx-Ta8n47fVfCDw7b7h9RffekGi
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9pAEB4BfaiXJH2p5NWV2mMd4_XaXh8TKAoNAiTahNtqH94WqTxkaPP3M2ubEFRFVaX65MPsevWNPTNrf_MZ4KNKcK9jDPVUpKXHGGWe1Fp7VFsdp7HSYSFWfd1PBgM-maSjGnTve2EWyyr0n-FpKRRcQlgR4riPNTT14iiNfcd_9APf9X-Ggb80tg5PnFyJu7uH4c0mIod4JGVjpBvI-Ybn9fhkO1mqjiv5I1QX-ae7_79WfgB7VQVKzstRL6GWzV_Bs4IJqlevQXQyx_AgnWxdsLTmpDfDmEOqjgLMdGT7Op5cYBI0BI3GtzKfkd4DgU8yxGg0q9o8yfnP74t8uv4xewPfup-_ti-96i8MnnbSNh460gaKRSHurHBzFqTaxApdSaXULDItaxxTSlMmM8tNFKo01TJyymZUch7Y8C005ot59g6IMjyx0lrmyjTGjExUlppYS5yUJyppQmuDuliWYhui-EjOuXDYCYedcNiJQJTYNeEToi2qB2_1d_MPO-ZfRu3xroVAZzTheOPsrSlNsLiNsb5JD__tmu_h-ajTFf3e4OoIXlDXPlHQYY6hsc5_ZSfwVP9eT1f5aXHT3gEJOuXS
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Defect+Detection+Image+Processing+Technology+Based+on+Swarm+Intelligence+Optimization+Algorithm&rft.jtitle=Journal+of+physics.+Conference+series&rft.au=Zhang%2C+Kui&rft.au=Zhu%2C+Shan&rft.date=2022-12-01&rft.pub=IOP+Publishing&rft.issn=1742-6588&rft.eissn=1742-6596&rft.volume=2400&rft.issue=1&rft_id=info:doi/10.1088%2F1742-6596%2F2400%2F1%2F012031&rft.externalDocID=JPCS_2400_1_012031
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1742-6588&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1742-6588&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1742-6588&client=summon