Image Segmentation of the Underwater Welding V-seam Image Based on Improved Two-dimensional Ostu Algorithm
To meet the request of V-seam tracking of underwater welding robot vision sensor, an improved two-dimensional image segmentation algorithm Ostu is presented in this paper. According to this algorithm, changing discriminate domain partition of 2D histogram, introducing a relaxant variable and enlargi...
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| creator | Jianping Jia Hongli Li Zhujun Jia |
| description | To meet the request of V-seam tracking of underwater welding robot vision sensor, an improved two-dimensional image segmentation algorithm Ostu is presented in this paper. According to this algorithm, changing discriminate domain partition of 2D histogram, introducing a relaxant variable and enlarging the searching step of threshold we get the optimal threshold. The experimental result shows that the computing time of this algorithm is shorter than the traditional and anti-interference capability is much stronger. It can meet the requirements of the underwater welding seam tracking. |
| doi_str_mv | 10.1109/FSKD.2009.225 |
| format | Conference Proceeding |
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It can meet the requirements of the underwater welding seam tracking.</description><subject>Histograms</subject><subject>Image segmentation</subject><subject>Partitioning algorithms</subject><subject>Pixel</subject><subject>Robot kinematics</subject><subject>Robot sensing systems</subject><subject>Robot vision systems</subject><subject>Sensor systems</subject><subject>two-dimensional Ostu</subject><subject>Underwater tracking</subject><subject>underwater welding</subject><subject>Welding</subject><isbn>9780769537351</isbn><isbn>0769537359</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjMtOAkEURDsxJCqydOWmf2Dw9pO5S0RRIgkLUJekpe8MTeZBpluJf-8YrE1VUlWHsVsBYyEA7-fr18exBMCxlOaCjXCSw8SiURNlxIBd_1UIVlt9yUYxHqCXQo06v2KHRe1K4msqa2qSS6FteFvwtCf-1njqTi5Rxz-o8qEp-XsWydX8_HlwkTzv94v62LXffd6c2syHHhR7jKv4KqYvPq3KtgtpX9-wQeGqSKN_H7LN_Gkze8mWq-fFbLrMAkLKlJW5t4CfBHqnlQEib5UyaHN0hZIIol9YIYS3xhvcWSmUl-S906h8oYbs7owNRLQ9dqF23c_WKAsGQf0CWNpXXA</recordid><startdate>200908</startdate><enddate>200908</enddate><creator>Jianping Jia</creator><creator>Hongli Li</creator><creator>Zhujun Jia</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200908</creationdate><title>Image Segmentation of the Underwater Welding V-seam Image Based on Improved Two-dimensional Ostu Algorithm</title><author>Jianping Jia ; Hongli Li ; Zhujun Jia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-3628d609be04c4350eed63359689af329016286111d65d59c6213d2edda493df3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Histograms</topic><topic>Image segmentation</topic><topic>Partitioning algorithms</topic><topic>Pixel</topic><topic>Robot kinematics</topic><topic>Robot sensing systems</topic><topic>Robot vision systems</topic><topic>Sensor systems</topic><topic>two-dimensional Ostu</topic><topic>Underwater tracking</topic><topic>underwater welding</topic><topic>Welding</topic><toplevel>online_resources</toplevel><creatorcontrib>Jianping Jia</creatorcontrib><creatorcontrib>Hongli Li</creatorcontrib><creatorcontrib>Zhujun Jia</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jianping Jia</au><au>Hongli Li</au><au>Zhujun Jia</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image Segmentation of the Underwater Welding V-seam Image Based on Improved Two-dimensional Ostu Algorithm</atitle><btitle>2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery</btitle><stitle>FSKD</stitle><date>2009-08</date><risdate>2009</risdate><volume>5</volume><spage>397</spage><epage>400</epage><pages>397-400</pages><isbn>9780769537351</isbn><isbn>0769537359</isbn><abstract>To meet the request of V-seam tracking of underwater welding robot vision sensor, an improved two-dimensional image segmentation algorithm Ostu is presented in this paper. According to this algorithm, changing discriminate domain partition of 2D histogram, introducing a relaxant variable and enlarging the searching step of threshold we get the optimal threshold. The experimental result shows that the computing time of this algorithm is shorter than the traditional and anti-interference capability is much stronger. It can meet the requirements of the underwater welding seam tracking.</abstract><pub>IEEE</pub><doi>10.1109/FSKD.2009.225</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Histograms Image segmentation Partitioning algorithms Pixel Robot kinematics Robot sensing systems Robot vision systems Sensor systems two-dimensional Ostu Underwater tracking underwater welding Welding |
| title | Image Segmentation of the Underwater Welding V-seam Image Based on Improved Two-dimensional Ostu Algorithm |
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