A 10 000-Image-per-Second Parallel Algorithm for Real-Time Detection of MARFEs on JET
This paper presents a very high-speed image processing algorithm applied to multi-faceted asymmetric radiation from the edge (MARFE) detection on the Joint European Torus. The algorithm was built in serial and parallel versions and written in C/C+ using OpenCV, cvBlob, and LibSVM libraries. The code...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on plasma science 2013-02, Vol.41 (2), p.341-349 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 349 |
|---|---|
| container_issue | 2 |
| container_start_page | 341 |
| container_title | IEEE transactions on plasma science |
| container_volume | 41 |
| creator | Portes de Albuquerque, Marcio Murari, Andrea Giovani, M. Alves, Nilton Portes de Albuquerque, Marcelo |
| description | This paper presents a very high-speed image processing algorithm applied to multi-faceted asymmetric radiation from the edge (MARFE) detection on the Joint European Torus. The algorithm was built in serial and parallel versions and written in C/C+ using OpenCV, cvBlob, and LibSVM libraries. The code implemented was characterized by its accuracy and run-time performance. The final result of the parallel version achieves a correct detection rate of 97.6% for MARFE identification and an image processing rate of more than 10 000 frame per second. The parallel version divides the image processing chain into two groups and seven tasks. One group is responsible for Background Image Estimation and Image Binarization modules, and the other is responsible for region Feature Extraction and Pattern Classification. At the same time and to maximize the workload distribution, the parallel code uses data parallelism and pipeline strategies for these two groups, respectively. A master thread is responsible for opening, signaling, and transferring images between both groups. The algorithm has been tested in a dedicated Intel symmetric-multiprocessing computer architecture with a Linux operating system. |
| doi_str_mv | 10.1109/TPS.2013.2237927 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_1285276557</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6423951</ieee_id><sourcerecordid>2887319741</sourcerecordid><originalsourceid>FETCH-LOGICAL-c206t-89bb22ca4fa02f7a1a5ac7e35d06f573d99a17030c2a512f6194ef7438d046cb3</originalsourceid><addsrcrecordid>eNo9kE1LwzAcxoMoOKd3wUvAc-Y_SdM0xzI3nUwcW8VjyNJkdnTLTLuDN69-TT-JHRNPDw88L_BD6JrCgFJQd8VsMWBA-YAxLhWTJ6hHFVdEcSlOUQ9AccIzys_RRdOsAWgigPXQW44p_Hx9AwCZbMzKkZ2LZOFs2JZ4ZqKpa1fjvF6FWLXvG-xDxHNnalJUG4fvXetsW4UtDh4_5_PxqMGdeRoVl-jMm7pxV3_aR6_jUTF8JNOXh8kwnxLLIG1JppZLxqxJvAHmpaFGGCsdFyWkXkheKmWoBA6WGUGZT6lKnJcJz0pIUrvkfXR73N3F8LF3TavXYR-33aWmLBNMpqKb6SM4pmwMTROd17tYbUz81BT0AZ_u8OkDPv2Hr6vcHCuVc-4_niaMK0H5LzttaOg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1285276557</pqid></control><display><type>article</type><title>A 10 000-Image-per-Second Parallel Algorithm for Real-Time Detection of MARFEs on JET</title><source>IEEE Electronic Library (IEL)</source><creator>Portes de Albuquerque, Marcio ; Murari, Andrea ; Giovani, M. ; Alves, Nilton ; Portes de Albuquerque, Marcelo</creator><creatorcontrib>Portes de Albuquerque, Marcio ; Murari, Andrea ; Giovani, M. ; Alves, Nilton ; Portes de Albuquerque, Marcelo</creatorcontrib><description>This paper presents a very high-speed image processing algorithm applied to multi-faceted asymmetric radiation from the edge (MARFE) detection on the Joint European Torus. The algorithm was built in serial and parallel versions and written in C/C+ using OpenCV, cvBlob, and LibSVM libraries. The code implemented was characterized by its accuracy and run-time performance. The final result of the parallel version achieves a correct detection rate of 97.6% for MARFE identification and an image processing rate of more than 10 000 frame per second. The parallel version divides the image processing chain into two groups and seven tasks. One group is responsible for Background Image Estimation and Image Binarization modules, and the other is responsible for region Feature Extraction and Pattern Classification. At the same time and to maximize the workload distribution, the parallel code uses data parallelism and pipeline strategies for these two groups, respectively. A master thread is responsible for opening, signaling, and transferring images between both groups. The algorithm has been tested in a dedicated Intel symmetric-multiprocessing computer architecture with a Linux operating system.</description><identifier>ISSN: 0093-3813</identifier><identifier>EISSN: 1939-9375</identifier><identifier>DOI: 10.1109/TPS.2013.2237927</identifier><identifier>CODEN: ITPSBD</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithm design and analysis ; Algorithms ; Cameras ; Codes ; Computer architecture ; Identification ; Image processing ; Image processing systems ; Libraries ; multi-faceted asymmetric radiation from the edge detection ; multi-faceted asymmetric radiation from the edge identification ; Operating systems ; parallel algorithm ; Real-time systems ; Time measurement ; Videos</subject><ispartof>IEEE transactions on plasma science, 2013-02, Vol.41 (2), p.341-349</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Feb 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c206t-89bb22ca4fa02f7a1a5ac7e35d06f573d99a17030c2a512f6194ef7438d046cb3</citedby><cites>FETCH-LOGICAL-c206t-89bb22ca4fa02f7a1a5ac7e35d06f573d99a17030c2a512f6194ef7438d046cb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6423951$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6423951$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Portes de Albuquerque, Marcio</creatorcontrib><creatorcontrib>Murari, Andrea</creatorcontrib><creatorcontrib>Giovani, M.</creatorcontrib><creatorcontrib>Alves, Nilton</creatorcontrib><creatorcontrib>Portes de Albuquerque, Marcelo</creatorcontrib><title>A 10 000-Image-per-Second Parallel Algorithm for Real-Time Detection of MARFEs on JET</title><title>IEEE transactions on plasma science</title><addtitle>TPS</addtitle><description>This paper presents a very high-speed image processing algorithm applied to multi-faceted asymmetric radiation from the edge (MARFE) detection on the Joint European Torus. The algorithm was built in serial and parallel versions and written in C/C+ using OpenCV, cvBlob, and LibSVM libraries. The code implemented was characterized by its accuracy and run-time performance. The final result of the parallel version achieves a correct detection rate of 97.6% for MARFE identification and an image processing rate of more than 10 000 frame per second. The parallel version divides the image processing chain into two groups and seven tasks. One group is responsible for Background Image Estimation and Image Binarization modules, and the other is responsible for region Feature Extraction and Pattern Classification. At the same time and to maximize the workload distribution, the parallel code uses data parallelism and pipeline strategies for these two groups, respectively. A master thread is responsible for opening, signaling, and transferring images between both groups. The algorithm has been tested in a dedicated Intel symmetric-multiprocessing computer architecture with a Linux operating system.</description><subject>Algorithm design and analysis</subject><subject>Algorithms</subject><subject>Cameras</subject><subject>Codes</subject><subject>Computer architecture</subject><subject>Identification</subject><subject>Image processing</subject><subject>Image processing systems</subject><subject>Libraries</subject><subject>multi-faceted asymmetric radiation from the edge detection</subject><subject>multi-faceted asymmetric radiation from the edge identification</subject><subject>Operating systems</subject><subject>parallel algorithm</subject><subject>Real-time systems</subject><subject>Time measurement</subject><subject>Videos</subject><issn>0093-3813</issn><issn>1939-9375</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LwzAcxoMoOKd3wUvAc-Y_SdM0xzI3nUwcW8VjyNJkdnTLTLuDN69-TT-JHRNPDw88L_BD6JrCgFJQd8VsMWBA-YAxLhWTJ6hHFVdEcSlOUQ9AccIzys_RRdOsAWgigPXQW44p_Hx9AwCZbMzKkZ2LZOFs2JZ4ZqKpa1fjvF6FWLXvG-xDxHNnalJUG4fvXetsW4UtDh4_5_PxqMGdeRoVl-jMm7pxV3_aR6_jUTF8JNOXh8kwnxLLIG1JppZLxqxJvAHmpaFGGCsdFyWkXkheKmWoBA6WGUGZT6lKnJcJz0pIUrvkfXR73N3F8LF3TavXYR-33aWmLBNMpqKb6SM4pmwMTROd17tYbUz81BT0AZ_u8OkDPv2Hr6vcHCuVc-4_niaMK0H5LzttaOg</recordid><startdate>20130201</startdate><enddate>20130201</enddate><creator>Portes de Albuquerque, Marcio</creator><creator>Murari, Andrea</creator><creator>Giovani, M.</creator><creator>Alves, Nilton</creator><creator>Portes de Albuquerque, Marcelo</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20130201</creationdate><title>A 10 000-Image-per-Second Parallel Algorithm for Real-Time Detection of MARFEs on JET</title><author>Portes de Albuquerque, Marcio ; Murari, Andrea ; Giovani, M. ; Alves, Nilton ; Portes de Albuquerque, Marcelo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c206t-89bb22ca4fa02f7a1a5ac7e35d06f573d99a17030c2a512f6194ef7438d046cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithm design and analysis</topic><topic>Algorithms</topic><topic>Cameras</topic><topic>Codes</topic><topic>Computer architecture</topic><topic>Identification</topic><topic>Image processing</topic><topic>Image processing systems</topic><topic>Libraries</topic><topic>multi-faceted asymmetric radiation from the edge detection</topic><topic>multi-faceted asymmetric radiation from the edge identification</topic><topic>Operating systems</topic><topic>parallel algorithm</topic><topic>Real-time systems</topic><topic>Time measurement</topic><topic>Videos</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Portes de Albuquerque, Marcio</creatorcontrib><creatorcontrib>Murari, Andrea</creatorcontrib><creatorcontrib>Giovani, M.</creatorcontrib><creatorcontrib>Alves, Nilton</creatorcontrib><creatorcontrib>Portes de Albuquerque, Marcelo</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on plasma science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Portes de Albuquerque, Marcio</au><au>Murari, Andrea</au><au>Giovani, M.</au><au>Alves, Nilton</au><au>Portes de Albuquerque, Marcelo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A 10 000-Image-per-Second Parallel Algorithm for Real-Time Detection of MARFEs on JET</atitle><jtitle>IEEE transactions on plasma science</jtitle><stitle>TPS</stitle><date>2013-02-01</date><risdate>2013</risdate><volume>41</volume><issue>2</issue><spage>341</spage><epage>349</epage><pages>341-349</pages><issn>0093-3813</issn><eissn>1939-9375</eissn><coden>ITPSBD</coden><abstract>This paper presents a very high-speed image processing algorithm applied to multi-faceted asymmetric radiation from the edge (MARFE) detection on the Joint European Torus. The algorithm was built in serial and parallel versions and written in C/C+ using OpenCV, cvBlob, and LibSVM libraries. The code implemented was characterized by its accuracy and run-time performance. The final result of the parallel version achieves a correct detection rate of 97.6% for MARFE identification and an image processing rate of more than 10 000 frame per second. The parallel version divides the image processing chain into two groups and seven tasks. One group is responsible for Background Image Estimation and Image Binarization modules, and the other is responsible for region Feature Extraction and Pattern Classification. At the same time and to maximize the workload distribution, the parallel code uses data parallelism and pipeline strategies for these two groups, respectively. A master thread is responsible for opening, signaling, and transferring images between both groups. The algorithm has been tested in a dedicated Intel symmetric-multiprocessing computer architecture with a Linux operating system.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPS.2013.2237927</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0093-3813 |
| ispartof | IEEE transactions on plasma science, 2013-02, Vol.41 (2), p.341-349 |
| issn | 0093-3813 1939-9375 |
| language | eng |
| recordid | cdi_proquest_journals_1285276557 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithm design and analysis Algorithms Cameras Codes Computer architecture Identification Image processing Image processing systems Libraries multi-faceted asymmetric radiation from the edge detection multi-faceted asymmetric radiation from the edge identification Operating systems parallel algorithm Real-time systems Time measurement Videos |
| title | A 10 000-Image-per-Second Parallel Algorithm for Real-Time Detection of MARFEs on JET |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T18%3A50%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%2010%E2%80%89000-Image-per-Second%20Parallel%20Algorithm%20for%20Real-Time%20Detection%20of%20MARFEs%20on%20JET&rft.jtitle=IEEE%20transactions%20on%20plasma%20science&rft.au=Portes%20de%20Albuquerque,%20Marcio&rft.date=2013-02-01&rft.volume=41&rft.issue=2&rft.spage=341&rft.epage=349&rft.pages=341-349&rft.issn=0093-3813&rft.eissn=1939-9375&rft.coden=ITPSBD&rft_id=info:doi/10.1109/TPS.2013.2237927&rft_dat=%3Cproquest_RIE%3E2887319741%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1285276557&rft_id=info:pmid/&rft_ieee_id=6423951&rfr_iscdi=true |