An advanced segmentation using area and boundary tracing technique in extraction of lungs region
A new method is presented for the segmentation of pulmonary parenchyma. The proposed method is based on the area calculation of different objects in the image. The main purpose of the proposed algorithm is the segment of the lungs images from the computer tomography（CT） images. The original image is...
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| Veröffentlicht in: | Journal of Central South University 2014-10, Vol.21 (10), p.3811-3820 |
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| container_issue | 10 |
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| container_title | Journal of Central South University |
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| creator | Thapaliya, Kiran Lee, Sang-Woong Pyu, Jae-Young Jeong, Heon Kwon, Goo-Rak |
| description | A new method is presented for the segmentation of pulmonary parenchyma. The proposed method is based on the area calculation of different objects in the image. The main purpose of the proposed algorithm is the segment of the lungs images from the computer tomography（CT） images. The original image is binarized using the bit-plane slicing technique and among the different images the best binarized image is chosen. After binarization, the labeling is done and the area of each label is calculated from which the next level of binarized image is obtained. Then, the boundary tracing algorithm is applied to get another level of binarized image. The proposed method is able to extract lung region from the original images. The experimental results show the significance of the proposed method. |
| doi_str_mv | 10.1007/s11771-014-2366-9 |
| format | Article |
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The proposed method is based on the area calculation of different objects in the image. The main purpose of the proposed algorithm is the segment of the lungs images from the computer tomography（CT） images. The original image is binarized using the bit-plane slicing technique and among the different images the best binarized image is chosen. After binarization, the labeling is done and the area of each label is calculated from which the next level of binarized image is obtained. Then, the boundary tracing algorithm is applied to get another level of binarized image. The proposed method is able to extract lung region from the original images. 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Cent. South Univ</addtitle><addtitle>Journal of Central South University of Technology</addtitle><description>A new method is presented for the segmentation of pulmonary parenchyma. The proposed method is based on the area calculation of different objects in the image. The main purpose of the proposed algorithm is the segment of the lungs images from the computer tomography（CT） images. The original image is binarized using the bit-plane slicing technique and among the different images the best binarized image is chosen. After binarization, the labeling is done and the area of each label is calculated from which the next level of binarized image is obtained. Then, the boundary tracing algorithm is applied to get another level of binarized image. The proposed method is able to extract lung region from the original images. The experimental results show the significance of the proposed method.</description><subject>Engineering</subject><subject>Metallic Materials</subject><subject>二值化图像</subject><subject>使用面积</subject><subject>分割</subject><subject>提取</subject><subject>肺部</subject><subject>计算机断层扫描</subject><subject>跟踪技术</subject><subject>边界</subject><issn>2095-2899</issn><issn>2227-5223</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kM1OwzAQhCMEElXpA3CzuKKAvds48bGq-JMqcYGzcWLHDWodaifQ8vQ4BMGNk9fe-Xa8kyTnjF4xSvPrwFies5SyeQrIeSqOkgkA5GkGgMexpiJLoRDiNJmF0JQUGXDkgk-Sl4UjSr8rVxlNgrFb4zrVNa0jfWicJcobRZTTpGx7p5U_kM6rauh0plq7Ztcb0jhi9sPzN9fWZNM7G4g3Nt7PkpNabYKZ_ZzT5Pn25ml5n64e7x6Wi1VaIcUuBVoDLTUKoMjjV-e6wpwbKDOhMlOUgIUqYg-yXAOrNRY8K1RVKcoMNUWO0-RynPuhXK2cla9t7110lJ_OHvR-X0oDMaEYGMOoZqO68m0I3tTyzTfbuJ5kVA6ZyjFTGQk5ZCpFZGBkQtQ6a_yfxX_QxY_RunV2F7lfJ86RsgJxjl88A4VU</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Thapaliya, Kiran</creator><creator>Lee, Sang-Woong</creator><creator>Pyu, Jae-Young</creator><creator>Jeong, Heon</creator><creator>Kwon, Goo-Rak</creator><general>Central South University</general><general>Department of Information and Communication Engineering, Chosun University,375 Seosuk-Dong, Dong-Gn, Gwangju 501-759, Korea%School of Computer Engineering, Chosun University, 375 Seosuk-Dong, Dong-Gu, Gwangju 501-759, Korea%Deparment of Fire, Administration, Chodang University, Jellonamdo, Korea</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>20141001</creationdate><title>An advanced segmentation using area and boundary tracing technique in extraction of lungs region</title><author>Thapaliya, Kiran ; Lee, Sang-Woong ; Pyu, Jae-Young ; Jeong, Heon ; Kwon, Goo-Rak</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c303t-20f20bd3920362894dc376e2b59a5e8b238a8203257d21fd38658acca01e0e873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Engineering</topic><topic>Metallic Materials</topic><topic>二值化图像</topic><topic>使用面积</topic><topic>分割</topic><topic>提取</topic><topic>肺部</topic><topic>计算机断层扫描</topic><topic>跟踪技术</topic><topic>边界</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thapaliya, Kiran</creatorcontrib><creatorcontrib>Lee, Sang-Woong</creatorcontrib><creatorcontrib>Pyu, Jae-Young</creatorcontrib><creatorcontrib>Jeong, Heon</creatorcontrib><creatorcontrib>Kwon, Goo-Rak</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>Thapaliya, Kiran</au><au>Lee, Sang-Woong</au><au>Pyu, Jae-Young</au><au>Jeong, Heon</au><au>Kwon, Goo-Rak</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An advanced segmentation using area and boundary tracing technique in extraction of lungs region</atitle><jtitle>Journal of Central South University</jtitle><stitle>J. Cent. South Univ</stitle><addtitle>Journal of Central South University of Technology</addtitle><date>2014-10-01</date><risdate>2014</risdate><volume>21</volume><issue>10</issue><spage>3811</spage><epage>3820</epage><pages>3811-3820</pages><issn>2095-2899</issn><eissn>2227-5223</eissn><abstract>A new method is presented for the segmentation of pulmonary parenchyma. The proposed method is based on the area calculation of different objects in the image. The main purpose of the proposed algorithm is the segment of the lungs images from the computer tomography（CT） images. The original image is binarized using the bit-plane slicing technique and among the different images the best binarized image is chosen. After binarization, the labeling is done and the area of each label is calculated from which the next level of binarized image is obtained. Then, the boundary tracing algorithm is applied to get another level of binarized image. 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| identifier | ISSN: 2095-2899 |
| ispartof | Journal of Central South University, 2014-10, Vol.21 (10), p.3811-3820 |
| issn | 2095-2899 2227-5223 |
| language | eng |
| recordid | cdi_wanfang_journals_zngydxxb_e201410013 |
| source | Springer Nature - Complete Springer Journals; Alma/SFX Local Collection |
| subjects | Engineering Metallic Materials 二值化图像 使用面积 分割 提取 肺部 计算机断层扫描 跟踪技术 边界 |
| title | An advanced segmentation using area and boundary tracing technique in extraction of lungs region |
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