{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,18]],"date-time":"2025-01-18T20:10:30Z","timestamp":1737231030594,"version":"3.33.0"},"reference-count":19,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":4462,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp; Computers in Japan"],"published-print":{"date-parts":[[1995,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This paper proposes an algorithm for a data\u2010driven segmentation of an image consisting of multiple textures. The method uses hierarchical Markov random fields (MRF) consisting of two layers: the first layer MRF representing invisible regional images; and the second layer MRF representing a different texture in each region. This method is based on the EM algorithm for estimating the maximum likelihood of incomplete data, to treat invisible regional processes. The algorithm repeats an estimation of the MRF parameters and a segmentation (estimation of region processes). The former is carried out by maximizing a pseu\u2010dolikelihood function; the latter is carried out by applying [the deterministic iterative relaxation algorithm] (developed by the authors) to the textured images. The proposed algorithm has been confirmed successfully by computer simulations using artificially composed textures.<\/jats:p>","DOI":"10.1002\/scj.4690260504","type":"journal-article","created":{"date-parts":[[2007,7,8]],"date-time":"2007-07-08T08:49:56Z","timestamp":1183884596000},"page":"43-53","source":"Crossref","is-referenced-by-count":6,"title":["Data\u2010driven segmentation of textured images using hierarchical markov random fields"],"prefix":"10.1002","volume":"26","author":[{"given":"Hideki","family":"Noda","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehdi N.","family":"Shirazi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1979.4766921"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/0734-189X(83)90079-8"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767871"},{"issue":"2","key":"e_1_2_1_5_2","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1109\/TPAMI.1987.4767895","article-title":"Simple parallel hierarchical and relaxation algorithms for segmenting noncausal Markovian random fields","volume":"9","author":"Cohen F. S.","journal-title":"IEEE Trans. Pattern Anal. & Machine Intell."},{"key":"e_1_2_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/0734-189X(86)90126-X"},{"key":"e_1_2_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1975.224169"},{"key":"e_1_2_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1986.13504"},{"key":"e_1_2_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/1049-9652(92)90078-C"},{"key":"e_1_2_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/1049-9652(92)90054-2"},{"key":"e_1_2_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1993.714160"},{"key":"e_1_2_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/5.18626"},{"key":"e_1_2_1_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/1049-9652(92)90050-8"},{"key":"e_1_2_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/78.157297"},{"issue":"2","key":"e_1_2_1_15_2","first-page":"259","article-title":"Adaptive restoration of degraded binary MRF images using EM method","volume":"76","author":"Yamazaki T.","year":"1993","journal-title":"I.E.I.C.E. Trans. Inf. & Syst."},{"issue":"1","key":"e_1_2_1_16_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"39","author":"Dempster A. P.","year":"1977","journal-title":"J. Roy. Stat. Soc."},{"issue":"3","key":"e_1_2_1_17_2","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1111\/j.2517-6161.1986.tb01412.x","article-title":"On the statistical analysis of dirty pictures","volume":"48","author":"Besag J. E.","year":"1986","journal-title":"J. Roy. Statis., Soc. B"},{"key":"e_1_2_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1974.1100705"},{"key":"e_1_2_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767596"},{"key":"e_1_2_1_20_2","doi-asserted-by":"publisher","DOI":"10.2307\/2317621"}],"container-title":["Systems and Computers in Japan"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fscj.4690260504","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/scj.4690260504","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,18]],"date-time":"2025-01-18T19:45:10Z","timestamp":1737229510000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/scj.4690260504"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1995,1]]},"references-count":19,"journal-issue":{"issue":"5","published-print":{"date-parts":[[1995,1]]}},"alternative-id":["10.1002\/scj.4690260504"],"URL":"https:\/\/doi.org\/10.1002\/scj.4690260504","archive":["Portico"],"relation":{},"ISSN":["0882-1666","1520-684X"],"issn-type":[{"type":"print","value":"0882-1666"},{"type":"electronic","value":"1520-684X"}],"subject":[],"published":{"date-parts":[[1995,1]]}}}