Algorithm for post-processing of tomography images to calculate the dimension-geometric features of porous structures
An algorithm for post-processing of the grayscale 3D computed tomography (CT) images of porous structures with the automatic selection of filtering parameters is proposed. The determination of parameters is carried out on a representative part of the image under analysis. A criterion for the search...
Saved in:
| Published in | Kompʹûternaâ optika Vol. 45; no. 1; pp. 110 - 121 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Samara National Research University
01.02.2021
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0134-2452 2412-6179 |
| DOI | 10.18287/2412-6179-CO-781 |
Cover
Loading…
| Abstract | An algorithm for post-processing of the grayscale 3D computed tomography (CT) images of porous structures with the automatic selection of filtering parameters is proposed. The determination of parameters is carried out on a representative part of the image under analysis. A criterion for the search for optimal filtering parameters based on the count of "levitating stone" voxels is described. The stages of CT image filtering and its binarization are performed sequentially. Bilateral and anisotropic diffuse filtering is implemented; the Otsu method for unbalanced classes is chosen for binarization. Verification of the proposed algorithm was carried out on model data. To create model porous structures, we used our image generator, which implements the function of anisotropic porous structures generation. Results of the post-processing of real CT images containing noise and reconstruction artifacts by the proposed method are discussed. |
|---|---|
| AbstractList | An algorithm for post-processing of the grayscale 3D computed tomography (CT) images of porous structures with the automatic selection of filtering parameters is proposed. The determination of parameters is carried out on a representative part of the image under analysis. A criterion for the search for optimal filtering parameters based on the count of "levitating stone" voxels is described. The stages of CT image filtering and its binarization are performed sequentially. Bilateral and anisotropic diffuse filtering is implemented; the Otsu method for unbalanced classes is chosen for binarization. Verification of the proposed algorithm was carried out on model data. To create model porous structures, we used our image generator, which implements the function of anisotropic porous structures generation. Results of the post-processing of real CT images containing noise and reconstruction artifacts by the proposed method are discussed. |
| Author | Senin, R.A. Kokhan, V.V. Chukalina, M.V. Khafizov, A.V. Grigoriev, M.V. Buzmakov, A.V. Uvarov, V.I. |
| Author_xml | – sequence: 1 givenname: M.V. surname: Chukalina fullname: Chukalina, M.V. – sequence: 2 givenname: A.V. surname: Khafizov fullname: Khafizov, A.V. – sequence: 3 givenname: V.V. surname: Kokhan fullname: Kokhan, V.V. – sequence: 4 givenname: A.V. surname: Buzmakov fullname: Buzmakov, A.V. – sequence: 5 givenname: R.A. surname: Senin fullname: Senin, R.A. – sequence: 6 givenname: V.I. surname: Uvarov fullname: Uvarov, V.I. – sequence: 7 givenname: M.V. surname: Grigoriev fullname: Grigoriev, M.V. |
| BookMark | eNp9kctq5DAURMWQQDqPD8hOP6CJrh62swzNPAKB3iRrIUvXbgXbMpK8yN-P0hmyyCKrC0XVgVt1Sc6WuCAht8B_Qie69k4oEKyB9p7tD6zt4AfZfUpnZMdBKiaUFhfkJudXznkNNaBgR7aHaYwplONMh5joGnNha4oOcw7LSONAS5zjmOx6fKNhtiPmqlBnJ7dNtiAtR6Q-zLjkEBc2YpyxpODogLZsqborYo0pbpnmkjZ3Eq_J-WCnjDf_7xV5-f3ref-XPR3-PO4fnpiTWhXmen8vGq85CA-i6ZSUQjfOc4fCdj1wZSW2DTYaXTXpDn3rW-yFcLKX2ssr8vjB9dG-mjXVB9KbiTaYkxDTaGwqwU1o7NB00nJZC9UKnO41qFYjDKAGL1BWFnywXIo5Jxw-ecDNaQbz3rl579zsD6bOUDPtl4wLxZbaVEk2TN8k_wHJ9ZCK |
| CitedBy_id | crossref_primary_10_1364_OE_522941 crossref_primary_10_1016_j_engfailanal_2022_106296 crossref_primary_10_1038_s41598_022_23643_6 crossref_primary_10_18599_grs_2024_4_11 |
| Cites_doi | 10.1109/tpami.2008.23 10.5194/tcd-6-1157-2012 10.1016/j.patcog.2012.11.012 10.21105/joss.01296 10.1016/j.physa.2004.03.057 10.1016/j.marpetgeo.2017.02.001 10.1016/j.powtec.2010.02.011 10.1117/12.2586785 10.14529/mmp160414 10.1109/ias.2016.7731915 10.1364/ao.24.004021 10.1016/0031-3203(92)90024-d 10.1016/j.ultramic.2014.08.008 10.18287/2412-6179-2019-43-5-825-832 10.1007/s10915-010-9361-6 10.1130/ges00555.1 10.1109/msp.2004.1296541 10.3762/bjnano.7.172 10.3103/s1062873819020060 10.1109/tvcg.2012.200 10.1016/j.jeurceramsoc.2006.05.097 10.1016/j.gmod.2017.12.001 10.1016/0021-9797(92)90268-q 10.1016/j.advwatres.2015.07.012 10.1109/mcse.2016.49 10.5194/se-2016-44 10.1155/2019/1405365 10.1016/j.biomaterials.2007.01.046 10.1117/12.2556374 10.1134/s1027451020060312 10.2136/sssaspecpub61.c8 10.3189/172756401781819418 10.1016/j.coldregions.2013.09.013 10.1029/2009wr008087 10.1002/2017jb013972 10.1016/j.patcog.2009.12.005 10.1007/978-3-540-39408-2 10.1007/s10596-009-9130-5 10.31857/S0235009220020067 10.1109/ICCV.1998.710815 10.1208/s12249-008-9074-4 10.2118/11758-pa 10.1007/s10946-019-09782-8 10.1016/j.egypro.2017.09.759 10.2136/vzj2011.0082 10.17073/1683-4518-2018-4-133-135 10.1109/34.56205 10.1016/j.cageo.2012.06.024 10.1117/12.2557519 10.1007/s10596-020-10002-5 10.1117/3.374903 10.1016/b978-0-08-051581-6.50055-6 10.1007/s10853-018-03310-w |
| ContentType | Journal Article |
| CorporateAuthor | Crystallography and Photonics FSRC "Crystallography and Photonics" RAS Institute of Structural Macrokinetics and Materials Science RAS Institute for Information Transmission Problems RAS RAS Smart Engines LLC Institute of Microelectronics Technology and High-Purity Materials of the Russian Academy of Sciences NRC Kurchatov Institute FSRC |
| CorporateAuthor_xml | – name: Institute of Microelectronics Technology and High-Purity Materials of the Russian Academy of Sciences – name: FSRC – name: Crystallography and Photonics – name: FSRC "Crystallography and Photonics" RAS – name: RAS – name: Smart Engines LLC – name: Institute for Information Transmission Problems RAS – name: NRC Kurchatov Institute – name: Institute of Structural Macrokinetics and Materials Science RAS |
| DBID | AAYXX CITATION DOA |
| DOI | 10.18287/2412-6179-CO-781 |
| DatabaseName | CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Applied Sciences |
| EISSN | 2412-6179 |
| EndPage | 121 |
| ExternalDocumentID | oai_doaj_org_article_af683a03182541c5b51475e1f14fd2e3 10_18287_2412_6179_CO_781 |
| GroupedDBID | 642 AAFWJ AAYXX ADBBV AFPKN ALMA_UNASSIGNED_HOLDINGS BCNDV CITATION GROUPED_DOAJ |
| ID | FETCH-LOGICAL-c354t-cbd926d5012d1268433256cd0ce2a8b104a3e76e65ec50158ed7d7eb22c3b35d3 |
| IEDL.DBID | DOA |
| ISSN | 0134-2452 |
| IngestDate | Wed Aug 27 01:32:33 EDT 2025 Tue Jul 01 03:11:54 EDT 2025 Thu Apr 24 23:07:14 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c354t-cbd926d5012d1268433256cd0ce2a8b104a3e76e65ec50158ed7d7eb22c3b35d3 |
| OpenAccessLink | https://doaj.org/article/af683a03182541c5b51475e1f14fd2e3 |
| PageCount | 12 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_af683a03182541c5b51475e1f14fd2e3 crossref_primary_10_18287_2412_6179_CO_781 crossref_citationtrail_10_18287_2412_6179_CO_781 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2021-02-01 |
| PublicationDateYYYYMMDD | 2021-02-01 |
| PublicationDate_xml | – month: 02 year: 2021 text: 2021-02-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Kompʹûternaâ optika |
| PublicationYear | 2021 |
| Publisher | Samara National Research University |
| Publisher_xml | – name: Samara National Research University |
| References | ref13 ref12 ref15 ref14 ref53 ref52 ref11 ref55 ref10 ref54 ref17 ref16 ref19 ref18 ref51 ref50 ref46 ref45 ref48 ref47 ref42 ref41 ref44 ref43 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 ref35 ref34 ref37 ref36 ref31 ref30 ref33 ref32 ref0 ref2 ref1 ref39 ref38 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref29 |
| References_xml | – ident: ref53 doi: 10.1109/tpami.2008.23 – ident: ref39 doi: 10.5194/tcd-6-1157-2012 – ident: ref51 doi: 10.1016/j.patcog.2012.11.012 – ident: ref35 doi: 10.21105/joss.01296 – ident: ref32 doi: 10.5194/tcd-6-1157-2012 – ident: ref20 doi: 10.1016/j.physa.2004.03.057 – ident: ref25 doi: 10.1016/j.marpetgeo.2017.02.001 – ident: ref31 doi: 10.1016/j.powtec.2010.02.011 – ident: ref33 doi: 10.1117/12.2586785 – ident: ref46 doi: 10.14529/mmp160414 – ident: ref27 doi: 10.1109/ias.2016.7731915 – ident: ref0 doi: 10.1364/ao.24.004021 – ident: ref42 doi: 10.1016/0031-3203(92)90024-d – ident: ref21 doi: 10.1016/j.ultramic.2014.08.008 – ident: ref14 doi: 10.18287/2412-6179-2019-43-5-825-832 – ident: ref52 doi: 10.1007/s10915-010-9361-6 – ident: ref1 doi: 10.1130/ges00555.1 – ident: ref49 doi: 10.1109/msp.2004.1296541 – ident: ref4 doi: 10.3762/bjnano.7.172 – ident: ref55 doi: 10.3103/s1062873819020060 – ident: ref23 doi: 10.1109/tvcg.2012.200 – ident: ref3 doi: 10.1016/j.jeurceramsoc.2006.05.097 – ident: ref38 doi: 10.1016/j.gmod.2017.12.001 – ident: ref8 doi: 10.1016/0021-9797(92)90268-q – ident: ref10 doi: 10.1016/j.advwatres.2015.07.012 – ident: ref36 doi: 10.1109/mcse.2016.49 – ident: ref13 doi: 10.5194/se-2016-44 – ident: ref54 doi: 10.1155/2019/1405365 – ident: ref6 doi: 10.1016/j.biomaterials.2007.01.046 – ident: ref29 doi: 10.1117/12.2556374 – ident: ref28 doi: 10.1134/s1027451020060312 – ident: ref22 doi: 10.2136/sssaspecpub61.c8 – ident: ref2 doi: 10.3189/172756401781819418 – ident: ref9 doi: 10.1016/j.coldregions.2013.09.013 – ident: ref12 doi: 10.1029/2009wr008087 – ident: ref11 doi: 10.1002/2017jb013972 – ident: ref50 doi: 10.1016/j.patcog.2009.12.005 – ident: ref40 doi: 10.1007/978-3-540-39408-2 – ident: ref17 doi: 10.1007/s10596-009-9130-5 – ident: ref45 doi: 10.31857/S0235009220020067 – ident: ref44 doi: 10.1109/ICCV.1998.710815 – ident: ref24 doi: 10.1208/s12249-008-9074-4 – ident: ref48 – ident: ref7 doi: 10.2118/11758-pa – ident: ref19 doi: 10.1007/s10946-019-09782-8 – ident: ref26 doi: 10.1016/j.egypro.2017.09.759 – ident: ref18 doi: 10.2136/vzj2011.0082 – ident: ref15 – ident: ref34 doi: 10.17073/1683-4518-2018-4-133-135 – ident: ref43 doi: 10.1109/34.56205 – ident: ref16 doi: 10.1016/j.cageo.2012.06.024 – ident: ref30 doi: 10.1117/12.2557519 – ident: ref37 doi: 10.1007/s10596-020-10002-5 – ident: ref41 doi: 10.1117/3.374903 – ident: ref47 doi: 10.1016/b978-0-08-051581-6.50055-6 – ident: ref5 doi: 10.1007/s10853-018-03310-w |
| SSID | ssj0002876141 |
| Score | 2.2328694 |
| Snippet | An algorithm for post-processing of the grayscale 3D computed tomography (CT) images of porous structures with the automatic selection of filtering parameters... |
| SourceID | doaj crossref |
| SourceType | Open Website Enrichment Source Index Database |
| StartPage | 110 |
| SubjectTerms | anisotropic porous structures ct images of porous structures postprocessing of ct-images representative volume element |
| Title | Algorithm for post-processing of tomography images to calculate the dimension-geometric features of porous structures |
| URI | https://doaj.org/article/af683a03182541c5b51475e1f14fd2e3 |
| Volume | 45 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV09T8MwELVQJxa-EeVLHpiQrCaxnbhjqagqBrpQqVsUf6SAmqZS0v_PXWyqssDCajlWdL7kvedc3hHyoNUwhUQpmSx4xISShhUCxIpTSjhl0lL4aovXdDoXLwu52Gv1hTVh3h7YB25QlLBWgakHUiY2UgPCZ9LFZSxKm7jO5xMwb09MfXZHRiDPhW9GyAXDz4vhkyYavA8AthL8OW7IxjOWqfgHKO1593cgMzkhR4Ed0pG_q1Ny4NZn5DgwRRqew-acbEerZQ2y_r2iQDrppm5atvEl_wBFtC5pW1fBjJp-VPDOaGCEwn5g2WnrKNA-atHYHw_L2NLVFXbWMrR0ndFng0sAM6-3DfUOszh4QeaT57fxlIUGCsxwKVpmtB0mqZUAQjZGWxfOgeEYG2EXMKVBiRXcZalLpTMwSSpnM5uB1k4M11xafkl663rtrgjlJuNW6CKLFPrJCB1Jo0Qcc1mYrNSqT6LvCOYmuItjk4tVjioDg55j0HMMej6e5RD0PnncXbLx1hq_TX7CbdlNRFfsbgByJQ-5kv-VK9f_scgNOUywrqWr3L4lPdgEdwfEpNX3XQ5-AYRc3Rs |
| linkProvider | Directory of Open Access Journals |
| 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=Algorithm+for+post-processing+of+tomography+images+to+calculate+the+dimension-geometric+features+of+porous+structures&rft.jtitle=Komp%CA%B9%C3%BBterna%C3%A2+optika&rft.au=M.V.+Chukalina&rft.au=A.V.+Khafizov&rft.au=V.V.+Kokhan&rft.au=A.V.+Buzmakov&rft.date=2021-02-01&rft.pub=Samara+National+Research+University&rft.issn=0134-2452&rft.eissn=2412-6179&rft.volume=45&rft.issue=1&rft.spage=110&rft.epage=121&rft_id=info:doi/10.18287%2F2412-6179-CO-781&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_af683a03182541c5b51475e1f14fd2e3 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0134-2452&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0134-2452&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0134-2452&client=summon |