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In order to reduce the time complexity, a novel multithreshold segmentation algorithm is proposed in this paper. First, all gray levels are used as thresholds, so the histogram of the original image is divided into 256 small regions, and each region corresponds to one gray level. Then, two adjacent regions are merged in each iteration by a new designed scheme, and a threshold is removed each time. To improve the accuracy of the merger operation, variance and probability are used as energy. No matter how many the thresholds are, the time complexity of the algorithm is stable at <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mi>O<\/mml:mi><mml:mo stretchy=\"false\">(<\/mml:mo><mml:mi>L<\/mml:mi><mml:mo stretchy=\"false\">)<\/mml:mo><\/mml:math>. Finally, the experiment is conducted on many MR brain images to verify the performance of the proposed algorithm. Experiment results show that our method can reduce the running time effectively and obtain segmentation results with high accuracy.<\/jats:p>","DOI":"10.1155\/2017\/9759414","type":"journal-article","created":{"date-parts":[[2017,3,16]],"date-time":"2017-03-16T17:19:24Z","timestamp":1489684764000},"page":"1-6","source":"Crossref","is-referenced-by-count":8,"title":["A Novel Histogram Region Merging Based Multithreshold Segmentation Algorithm for MR Brain Images"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4889-3074","authenticated-orcid":true,"given":"Siyan","family":"Liu","sequence":"first","affiliation":[{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China"},{"name":"College of Computer Science and Technology, Jilin University, Changchun 130012, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuanjing","family":"Shen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China"},{"name":"College of Computer Science and Technology, Jilin University, Changchun 130012, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuncong","family":"Feng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China"},{"name":"College of Computer Science and Technology, Jilin University, Changchun 130012, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9410-4120","authenticated-orcid":true,"given":"Haipeng","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China"},{"name":"College of Computer Science and Technology, Jilin University, Changchun 130012, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.1979.4310076"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(86)90030-0"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/0734-189x(85)90125-2"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2015.03.025"},{"issue":"8","key":"5","first-page":"1644","volume":"40","year":"2014","journal-title":"Acta Automatica Sinica"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2013.09.031"},{"issue":"s1","key":"7","first-page":"214","volume":"33","year":"2013","journal-title":"Journal of Computer Applications"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.13229\/j.cnki.jdxbgxb201602030"},{"issue":"4","key":"9","first-page":"219","volume":"9","year":"2004","journal-title":"Chinese Journal of Stereology and Image Analysis"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.09.151"}],"container-title":["International Journal of Biomedical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijbi\/2017\/9759414.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijbi\/2017\/9759414.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijbi\/2017\/9759414.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,16]],"date-time":"2017-03-16T17:19:31Z","timestamp":1489684771000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/ijbi\/2017\/9759414\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":10,"alternative-id":["9759414","9759414"],"URL":"https:\/\/doi.org\/10.1155\/2017\/9759414","relation":{},"ISSN":["1687-4188","1687-4196"],"issn-type":[{"type":"print","value":"1687-4188"},{"type":"electronic","value":"1687-4196"}],"subject":[],"published":{"date-parts":[[2017]]}}}