{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,18]],"date-time":"2023-08-18T18:33:04Z","timestamp":1692383584743},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[1991,10]]},"abstract":"<jats:p> Image binarization is a task to convert gray-level images into bi-level ones. Its underlying notion can be simply thought of as threshold selection. However, the result of binarization will cause significant influence on the process of image recognition or understanding. In this paper we discuss a new binarization method, named CMB (connectionist model binarization), which uses the connectionist model. In the method a gray-level histogram is input to a multilayer network trained with the back-propagation algorithm to obtain a threshold which gives a visually suitable binarized image. From the experimental results, it was verified that CMB is an effective binarization method in comparison with other methods. <\/jats:p>","DOI":"10.1142\/s0218001491000363","type":"journal-article","created":{"date-parts":[[2004,11,26]],"date-time":"2004-11-26T20:43:01Z","timestamp":1101501781000},"page":"629-644","source":"Crossref","is-referenced-by-count":6,"title":["CONNECTIONIST MODEL BINARIZATION"],"prefix":"10.1142","volume":"05","author":[{"given":"NOBORU","family":"BABAGUCHI","sequence":"first","affiliation":[{"name":"Department of Communication  Engineering, Faculty of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KOJI","family":"YAMADA","sequence":"additional","affiliation":[{"name":"Department of Communication  Engineering, Faculty of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KOICHI","family":"KISE","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, College of Engineering, University of Osaka Prefecture, 804 Mozu-Umemachi 4-cho, Sakai, Osaka, 591, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YOSHIKAZU","family":"TEZUKA","sequence":"additional","affiliation":[{"name":"Department of Communication  Engineering, Faculty of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001491000363","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T12:39:42Z","timestamp":1565181582000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001491000363"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1991,10]]},"references-count":0,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1991,10]]}},"alternative-id":["10.1142\/S0218001491000363"],"URL":"https:\/\/doi.org\/10.1142\/s0218001491000363","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[1991,10]]}}}