Optimal multilevel thresholding based on molecular kinetic theory optimization algorithm and line intercept histogram
Among all segmentation techniques, Otsu thresholding method is widely used. Line intercept histogram based Otsu thresholding method (LIH Otsu method) can be more resistant to Gaussian noise, highly efficient in computing time, and can be easily extended to multilevel thresholding. But when images co...
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Veröffentlicht in: | Journal of Central South University 2016-04, Vol.23 (4), p.880-890 |
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creator | 范朝冬 任柯 张英杰 易灵芝 |
description | Among all segmentation techniques, Otsu thresholding method is widely used. Line intercept histogram based Otsu thresholding method (LIH Otsu method) can be more resistant to Gaussian noise, highly efficient in computing time, and can be easily extended to multilevel thresholding. But when images contain salt-and-pepper noise, LIH Otsu method performs poorly. An improved LIH Otsu method (ILIH Otsu method) is presented, which can be more resistant to Gaussian noise and salt-and-pepper noise. Moreover, it can be easily extended to multilevel thresholding. In order to improve the efficiency, the optimization algorithm based on the kinetic-molecular theory (KMTOA) is used to determine the optimal thresholds. The experimental results show that ILIH Otsu method has stronger anti-noise ability than two-dimensional Otsu thresholding method (2-D Otsu method), LIH Otsu method, K-means clustering algorithm and fuzzy clustering algorithm. |
doi_str_mv | 10.1007/s11771-016-3135-8 |
format | Article |
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Line intercept histogram based Otsu thresholding method (LIH Otsu method) can be more resistant to Gaussian noise, highly efficient in computing time, and can be easily extended to multilevel thresholding. But when images contain salt-and-pepper noise, LIH Otsu method performs poorly. An improved LIH Otsu method (ILIH Otsu method) is presented, which can be more resistant to Gaussian noise and salt-and-pepper noise. Moreover, it can be easily extended to multilevel thresholding. In order to improve the efficiency, the optimization algorithm based on the kinetic-molecular theory (KMTOA) is used to determine the optimal thresholds. The experimental results show that ILIH Otsu method has stronger anti-noise ability than two-dimensional Otsu thresholding method (2-D Otsu method), LIH Otsu method, K-means clustering algorithm and fuzzy clustering algorithm.</description><identifier>ISSN: 2095-2899</identifier><identifier>EISSN: 2227-5223</identifier><identifier>DOI: 10.1007/s11771-016-3135-8</identifier><language>eng</language><publisher>Changsha: Central South University</publisher><subject>Control Science and Information Engineering ; Engineering ; Mechanical Engineering ; Metallic Materials ; Otsu方法 ; Otsu法 ; 优化算法 ; 分子动理论 ; 动力学理论 ; 最大类间方差法 ; 直方图 ; 阈值分割</subject><ispartof>Journal of Central South University, 2016-04, Vol.23 (4), p.880-890</ispartof><rights>Central South University Press and Springer-Verlag Berlin Heidelberg 2016</rights><rights>Copyright © Wanfang Data Co. Ltd. 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Cent. South Univ</addtitle><addtitle>Journal of Central South University of Technology</addtitle><description>Among all segmentation techniques, Otsu thresholding method is widely used. Line intercept histogram based Otsu thresholding method (LIH Otsu method) can be more resistant to Gaussian noise, highly efficient in computing time, and can be easily extended to multilevel thresholding. But when images contain salt-and-pepper noise, LIH Otsu method performs poorly. An improved LIH Otsu method (ILIH Otsu method) is presented, which can be more resistant to Gaussian noise and salt-and-pepper noise. Moreover, it can be easily extended to multilevel thresholding. In order to improve the efficiency, the optimization algorithm based on the kinetic-molecular theory (KMTOA) is used to determine the optimal thresholds. The experimental results show that ILIH Otsu method has stronger anti-noise ability than two-dimensional Otsu thresholding method (2-D Otsu method), LIH Otsu method, K-means clustering algorithm and fuzzy clustering algorithm.</description><subject>Control Science and Information Engineering</subject><subject>Engineering</subject><subject>Mechanical Engineering</subject><subject>Metallic Materials</subject><subject>Otsu方法</subject><subject>Otsu法</subject><subject>优化算法</subject><subject>分子动理论</subject><subject>动力学理论</subject><subject>最大类间方差法</subject><subject>直方图</subject><subject>阈值分割</subject><issn>2095-2899</issn><issn>2227-5223</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kMFO3DAQhiMEEmjZB-Bm9YoCHjt2kmO1ogUJiUt7tpxkkpg69tb2trs8PV4tam-cZg7fN7_mL4oboHdAaX0fAeoaSgqy5MBF2ZwVV4yxuhSM8fO801aUrGnby2Ido-koBya5bOVVsXvZJrNoS5adTcbiH7QkzQHj7O1g3EQ6HXEg3pHFW-x3VgfyyzhMps8c-nAg_njBvOlkMqXt5INJ80K0G4jNJDEuYehxm8hsYvJT0Mt1cTFqG3H9MVfFz28PPzaP5fPL96fN1-ey5wJSiYJSIYWWwPIL3dhCixJqrBk0yDtaj1gxbJoBhwHoWOkOq0GwsUM61iA6vipuT3f_ajdqN6lXvwsuJ6o3Nx2G_b5TyHJttKIgMg0nug8-xoCj2obcTTgooOpYtDoVrbKhjkWrJjvs5MTMugnD_4jPpC8fQbN30-_s_UuSsmWiEo3k7zFYj4c</recordid><startdate>20160401</startdate><enddate>20160401</enddate><creator>范朝冬 任柯 张英杰 易灵芝</creator><general>Central South University</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20160401</creationdate><title>Optimal multilevel thresholding based on molecular kinetic theory optimization algorithm and line intercept histogram</title><author>范朝冬 任柯 张英杰 易灵芝</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c351t-e500565a612209bf919e617e7218e3b07fe42e88dedd10f4abe4d52fbe0f715b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Control Science and Information Engineering</topic><topic>Engineering</topic><topic>Mechanical Engineering</topic><topic>Metallic Materials</topic><topic>Otsu方法</topic><topic>Otsu法</topic><topic>优化算法</topic><topic>分子动理论</topic><topic>动力学理论</topic><topic>最大类间方差法</topic><topic>直方图</topic><topic>阈值分割</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>范朝冬 任柯 张英杰 易灵芝</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of Central South University</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>范朝冬 任柯 张英杰 易灵芝</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal multilevel thresholding based on molecular kinetic theory optimization algorithm and line intercept histogram</atitle><jtitle>Journal of Central South University</jtitle><stitle>J. Cent. South Univ</stitle><addtitle>Journal of Central South University of Technology</addtitle><date>2016-04-01</date><risdate>2016</risdate><volume>23</volume><issue>4</issue><spage>880</spage><epage>890</epage><pages>880-890</pages><issn>2095-2899</issn><eissn>2227-5223</eissn><abstract>Among all segmentation techniques, Otsu thresholding method is widely used. Line intercept histogram based Otsu thresholding method (LIH Otsu method) can be more resistant to Gaussian noise, highly efficient in computing time, and can be easily extended to multilevel thresholding. But when images contain salt-and-pepper noise, LIH Otsu method performs poorly. An improved LIH Otsu method (ILIH Otsu method) is presented, which can be more resistant to Gaussian noise and salt-and-pepper noise. Moreover, it can be easily extended to multilevel thresholding. In order to improve the efficiency, the optimization algorithm based on the kinetic-molecular theory (KMTOA) is used to determine the optimal thresholds. The experimental results show that ILIH Otsu method has stronger anti-noise ability than two-dimensional Otsu thresholding method (2-D Otsu method), LIH Otsu method, K-means clustering algorithm and fuzzy clustering algorithm.</abstract><cop>Changsha</cop><pub>Central South University</pub><doi>10.1007/s11771-016-3135-8</doi><tpages>11</tpages></addata></record> |
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source | Springer Nature - Complete Springer Journals; Alma/SFX Local Collection |
subjects | Control Science and Information Engineering Engineering Mechanical Engineering Metallic Materials Otsu方法 Otsu法 优化算法 分子动理论 动力学理论 最大类间方差法 直方图 阈值分割 |
title | Optimal multilevel thresholding based on molecular kinetic theory optimization algorithm and line intercept histogram |
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