{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T02:02:15Z","timestamp":1770516135261,"version":"3.49.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032159922","type":"print"},{"value":"9783032159939","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-15993-9_31","type":"book-chapter","created":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T05:52:07Z","timestamp":1770443527000},"page":"456-469","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Segmentation of\u00a0Microtomography Images of\u00a0Carbonate Rocks: A Comparison Between Ordinary Kriging and\u00a0Universal Kriging"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-3237-5234","authenticated-orcid":false,"given":"Maxwell Pires","family":"Silva","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2041-7538","authenticated-orcid":false,"given":"S.","family":"Italo Francyles","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0423-2514","authenticated-orcid":false,"given":"Arist\u00f3fanes Corr\u00eaa","family":"Silva","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4921-0626","authenticated-orcid":false,"given":"Anselmo Cardoso","family":"de Paiva","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4644-120X","authenticated-orcid":false,"given":"Deane","family":"Roehl","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,8]]},"reference":[{"key":"31_CR1","unstructured":"Avanaki, A.: Exact histogram specification optimized for structural similarity. arXiv preprint arXiv:0901.0065 (2008)"},{"key":"31_CR2","unstructured":"Bressan, P.O., et\u00a0al.: Semantic segmentation with labeling uncertainty and class imbalance. arXiv preprint arXiv:2102.04566 (2021)"},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, B., Girshick, R., Doll\u00e1r, P., Berg, A.C., Kirillov, A.: Boundary iou: improving object-centric image segmentation evaluation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15334\u201315342 (2021)","DOI":"10.1109\/CVPR46437.2021.01508"},{"key":"31_CR4","doi-asserted-by":"crossref","unstructured":"Cressie, N.: Statistics for spatial data. John Wiley & Sons (2015)","DOI":"10.1002\/9781118445112.stat01927"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Fl\u00fcgel, E., Munnecke, A.: Microfacies of carbonate rocks: analysis, interpretation and application, vol.\u00a0976. Springer (2010)","DOI":"10.1007\/978-3-642-03796-2"},{"key":"31_CR6","doi-asserted-by":"crossref","unstructured":"Goldscheider, N., et\u00a0al.: Global distribution of carbonate rocks and karst water resources. Hydrogeology J. 28, 1661\u20131677 (2020)","DOI":"10.1007\/s10040-020-02139-5"},{"key":"31_CR7","doi-asserted-by":"crossref","unstructured":"Gonzalez, R.C.: Digital image processing. Pearson education india (2009)","DOI":"10.1117\/1.3115362"},{"key":"31_CR8","doi-asserted-by":"publisher","unstructured":"Jia, L., Chen, M., Jin, Y.: 3d imaging of fractures in carbonate rocks using x-ray computed tomography technology. Carbonates and Evaporites 29, 147\u2013153 (2013). https:\/\/doi.org\/10.1007\/s13146-013-0179-9","DOI":"10.1007\/s13146-013-0179-9"},{"key":"31_CR9","unstructured":"Krige, D.G.: A statistical approach to some basic mine valuation problems on the witwatersrand. J. Southern African Instit. Mining Metallurgy 52(6), 119\u2013139 (1951)"},{"issue":"8","key":"31_CR10","doi-asserted-by":"publisher","first-page":"1246","DOI":"10.2113\/gsecongeo.58.8.1246","volume":"58","author":"G Matheron","year":"1963","unstructured":"Matheron, G.: Principles of geostatistics. Econ. Geol. 58(8), 1246\u20131266 (1963)","journal-title":"Econ. Geol."},{"key":"31_CR11","unstructured":"Oliveira, O.M.O.D.A.: Caracteriza\u00e7\u00e3o de rochas carbon\u00e1ticas utilizando microtomografia de raios x (2017)"},{"key":"31_CR12","unstructured":"Pyrcz, M.J., Deutsch, C.V.: Geostatistical reservoir modeling. Oxford university press (2014)"},{"key":"31_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"31_CR14","doi-asserted-by":"publisher","first-page":"165437","DOI":"10.1109\/ACCESS.2019.2952899","volume":"7","author":"V Stimper","year":"2019","unstructured":"Stimper, V., Bauer, S., Ernstorfer, R., Sch\u00f6lkopf, B., Xian, R.P.: Multidimensional contrast limited adaptive histogram equalization. IEEE Access 7, 165437\u2013165447 (2019)","journal-title":"IEEE Access"},{"key":"31_CR15","unstructured":"Tucker, M.E., Wright, V.P.: Carbonate sedimentology. John Wiley & Sons (2009)"},{"key":"31_CR16","unstructured":"Vidal, A., et al.: 16 brazilian pre-salt carbonates: multi-resolution micro-ct images (2025). https:\/\/www.doi.org\/10.17612\/xr50-s717"},{"key":"31_CR17","unstructured":"Wang, H.: Application of machine learning and deep learning methods in geological carbon sequestration across multiple spatial scales (2022)"},{"key":"31_CR18","doi-asserted-by":"crossref","unstructured":"Xu, Z., Baojie, X., Guoxin, W.: Canny edge detection based on open cv. In: 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), pp. 53\u201356. IEEE (2017)","DOI":"10.1109\/ICEMI.2017.8265710"},{"issue":"6","key":"31_CR19","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1021\/acsearthspacechem.8b00013","volume":"2","author":"Y Yang","year":"2018","unstructured":"Yang, Y., et al.: Direct observation of coupled geochemical and geomechanical impacts on chalk microstructure evolution under elevated co2 pressure. ACS Earth Space Chem. 2(6), 618\u2013633 (2018)","journal-title":"ACS Earth Space Chem."}],"container-title":["Lecture Notes in Computer Science","Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-15993-9_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T05:52:09Z","timestamp":1770443529000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-15993-9_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032159922","9783032159939"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-15993-9_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"8 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BRACIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazilian Conference on Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fortaleza-CE","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bracis2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bracis.sbc.org.br\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}