Online Wear Detection Using High-Speed Imaging
In this paper, the change detection of a fast turning specimen is studied at micro-level, whereas the images are acquired without stopping the rotation. In the beginning of the experiment, the imaging system is focused on the surface of the specimen. By starting the rotation of the specimen, the dia...
Gespeichert in:
| Veröffentlicht in: | Microscopy and microanalysis 2016-08, Vol.22 (4), p.820-840 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 840 |
|---|---|
| container_issue | 4 |
| container_start_page | 820 |
| container_title | Microscopy and microanalysis |
| container_volume | 22 |
| creator | Soleimani, Seyfollah Sukumaran, Jacob Douterloigne, Koen De Baets, Patrick Philips, Wilfried |
| description | In this paper, the change detection of a fast turning specimen is studied at micro-level, whereas the images are acquired without stopping the rotation. In the beginning of the experiment, the imaging system is focused on the surface of the specimen. By starting the rotation of the specimen, the diameter of the specimen changes due to wear, which results in de-focusing of the imaging system. So the amount of blur in the images can be used as evidence of the wear phenomenon. Due to the properties of the microscope, the corners of the frames were dark and had to be cropped. So, each micrograph reflects only a small area of the surface. Nevertheless, techniques like stitching of multiple images can provide a significant surface area for micro-level investigation which increases the effectiveness of analyzing the material modification. Based on the results computer vision could detect a change of about 1.2 µm in the diameter of the specimen. More important is that we could follow the same locations of the surface in the microscopic images despite blurring, uneven illumination, change on the surface, and relatively a high-speed rotation. |
| doi_str_mv | 10.1017/S1431927616011387 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1827904913</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S1431927616011387</cupid><sourcerecordid>1827904913</sourcerecordid><originalsourceid>FETCH-LOGICAL-c449t-62343a1a2923e1957f3eba5ff3ca12321637095315d13e0e2d56561aae96021d3</originalsourceid><addsrcrecordid>eNqNkE1Lw0AQhhdRbK3-AC8S8OIldWcnu5s9Sv2oUOihFo9hm0xiSj5qNjn4701tFVEETzPMPO87zMvYOfAxcNDXCwgQjNAKFAfAUB-wYT-SfgggDz968Lf7ATtxbs05R67VMRsILSHkSg3ZeF4VeUXeM9nGu6WW4javK2_p8irzpnn24i82RIn3WNqsH52yo9QWjs72dcSW93dPk6k_mz88Tm5mfhwEpvWVwAAtWGEEEhipU6SVlWmKsQWBAhRqbiSCTACJk0ikkgqsJaO4gARH7Grnu2nq145cG5W5i6kobEV15yIIhTY8MID_QMEEKGQY9ujlD3Rdd03VP7KlQiW14EFPwY6Km9q5htJo0-Slbd4i4NE29-hX7r3mYu_crUpKvhSfQfcA7k1tuWryJKNvt_-0fQcc1Ye4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1818657204</pqid></control><display><type>article</type><title>Online Wear Detection Using High-Speed Imaging</title><source>Alma/SFX Local Collection</source><creator>Soleimani, Seyfollah ; Sukumaran, Jacob ; Douterloigne, Koen ; De Baets, Patrick ; Philips, Wilfried</creator><creatorcontrib>Soleimani, Seyfollah ; Sukumaran, Jacob ; Douterloigne, Koen ; De Baets, Patrick ; Philips, Wilfried</creatorcontrib><description>In this paper, the change detection of a fast turning specimen is studied at micro-level, whereas the images are acquired without stopping the rotation. In the beginning of the experiment, the imaging system is focused on the surface of the specimen. By starting the rotation of the specimen, the diameter of the specimen changes due to wear, which results in de-focusing of the imaging system. So the amount of blur in the images can be used as evidence of the wear phenomenon. Due to the properties of the microscope, the corners of the frames were dark and had to be cropped. So, each micrograph reflects only a small area of the surface. Nevertheless, techniques like stitching of multiple images can provide a significant surface area for micro-level investigation which increases the effectiveness of analyzing the material modification. Based on the results computer vision could detect a change of about 1.2 µm in the diameter of the specimen. More important is that we could follow the same locations of the surface in the microscopic images despite blurring, uneven illumination, change on the surface, and relatively a high-speed rotation.</description><identifier>ISSN: 1431-9276</identifier><identifier>EISSN: 1435-8115</identifier><identifier>DOI: 10.1017/S1431927616011387</identifier><identifier>PMID: 27518066</identifier><language>eng</language><publisher>New York, USA: Cambridge University Press</publisher><subject>Cameras ; Investigations ; Materials Applications ; Registration ; Scanning electron microscopy</subject><ispartof>Microscopy and microanalysis, 2016-08, Vol.22 (4), p.820-840</ispartof><rights>Microscopy Society of America 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c449t-62343a1a2923e1957f3eba5ff3ca12321637095315d13e0e2d56561aae96021d3</citedby><cites>FETCH-LOGICAL-c449t-62343a1a2923e1957f3eba5ff3ca12321637095315d13e0e2d56561aae96021d3</cites><orcidid>0000-0002-5541-8768</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27518066$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Soleimani, Seyfollah</creatorcontrib><creatorcontrib>Sukumaran, Jacob</creatorcontrib><creatorcontrib>Douterloigne, Koen</creatorcontrib><creatorcontrib>De Baets, Patrick</creatorcontrib><creatorcontrib>Philips, Wilfried</creatorcontrib><title>Online Wear Detection Using High-Speed Imaging</title><title>Microscopy and microanalysis</title><addtitle>Microsc Microanal</addtitle><description>In this paper, the change detection of a fast turning specimen is studied at micro-level, whereas the images are acquired without stopping the rotation. In the beginning of the experiment, the imaging system is focused on the surface of the specimen. By starting the rotation of the specimen, the diameter of the specimen changes due to wear, which results in de-focusing of the imaging system. So the amount of blur in the images can be used as evidence of the wear phenomenon. Due to the properties of the microscope, the corners of the frames were dark and had to be cropped. So, each micrograph reflects only a small area of the surface. Nevertheless, techniques like stitching of multiple images can provide a significant surface area for micro-level investigation which increases the effectiveness of analyzing the material modification. Based on the results computer vision could detect a change of about 1.2 µm in the diameter of the specimen. More important is that we could follow the same locations of the surface in the microscopic images despite blurring, uneven illumination, change on the surface, and relatively a high-speed rotation.</description><subject>Cameras</subject><subject>Investigations</subject><subject>Materials Applications</subject><subject>Registration</subject><subject>Scanning electron microscopy</subject><issn>1431-9276</issn><issn>1435-8115</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNkE1Lw0AQhhdRbK3-AC8S8OIldWcnu5s9Sv2oUOihFo9hm0xiSj5qNjn4701tFVEETzPMPO87zMvYOfAxcNDXCwgQjNAKFAfAUB-wYT-SfgggDz968Lf7ATtxbs05R67VMRsILSHkSg3ZeF4VeUXeM9nGu6WW4javK2_p8irzpnn24i82RIn3WNqsH52yo9QWjs72dcSW93dPk6k_mz88Tm5mfhwEpvWVwAAtWGEEEhipU6SVlWmKsQWBAhRqbiSCTACJk0ikkgqsJaO4gARH7Grnu2nq145cG5W5i6kobEV15yIIhTY8MID_QMEEKGQY9ujlD3Rdd03VP7KlQiW14EFPwY6Km9q5htJo0-Slbd4i4NE29-hX7r3mYu_crUpKvhSfQfcA7k1tuWryJKNvt_-0fQcc1Ye4</recordid><startdate>201608</startdate><enddate>201608</enddate><creator>Soleimani, Seyfollah</creator><creator>Sukumaran, Jacob</creator><creator>Douterloigne, Koen</creator><creator>De Baets, Patrick</creator><creator>Philips, Wilfried</creator><general>Cambridge University Press</general><general>Oxford University Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5541-8768</orcidid></search><sort><creationdate>201608</creationdate><title>Online Wear Detection Using High-Speed Imaging</title><author>Soleimani, Seyfollah ; Sukumaran, Jacob ; Douterloigne, Koen ; De Baets, Patrick ; Philips, Wilfried</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c449t-62343a1a2923e1957f3eba5ff3ca12321637095315d13e0e2d56561aae96021d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Cameras</topic><topic>Investigations</topic><topic>Materials Applications</topic><topic>Registration</topic><topic>Scanning electron microscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soleimani, Seyfollah</creatorcontrib><creatorcontrib>Sukumaran, Jacob</creatorcontrib><creatorcontrib>Douterloigne, Koen</creatorcontrib><creatorcontrib>De Baets, Patrick</creatorcontrib><creatorcontrib>Philips, Wilfried</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Microscopy and microanalysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soleimani, Seyfollah</au><au>Sukumaran, Jacob</au><au>Douterloigne, Koen</au><au>De Baets, Patrick</au><au>Philips, Wilfried</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Online Wear Detection Using High-Speed Imaging</atitle><jtitle>Microscopy and microanalysis</jtitle><addtitle>Microsc Microanal</addtitle><date>2016-08</date><risdate>2016</risdate><volume>22</volume><issue>4</issue><spage>820</spage><epage>840</epage><pages>820-840</pages><issn>1431-9276</issn><eissn>1435-8115</eissn><abstract>In this paper, the change detection of a fast turning specimen is studied at micro-level, whereas the images are acquired without stopping the rotation. In the beginning of the experiment, the imaging system is focused on the surface of the specimen. By starting the rotation of the specimen, the diameter of the specimen changes due to wear, which results in de-focusing of the imaging system. So the amount of blur in the images can be used as evidence of the wear phenomenon. Due to the properties of the microscope, the corners of the frames were dark and had to be cropped. So, each micrograph reflects only a small area of the surface. Nevertheless, techniques like stitching of multiple images can provide a significant surface area for micro-level investigation which increases the effectiveness of analyzing the material modification. Based on the results computer vision could detect a change of about 1.2 µm in the diameter of the specimen. More important is that we could follow the same locations of the surface in the microscopic images despite blurring, uneven illumination, change on the surface, and relatively a high-speed rotation.</abstract><cop>New York, USA</cop><pub>Cambridge University Press</pub><pmid>27518066</pmid><doi>10.1017/S1431927616011387</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0002-5541-8768</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1431-9276 |
| ispartof | Microscopy and microanalysis, 2016-08, Vol.22 (4), p.820-840 |
| issn | 1431-9276 1435-8115 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1827904913 |
| source | Alma/SFX Local Collection |
| subjects | Cameras Investigations Materials Applications Registration Scanning electron microscopy |
| title | Online Wear Detection Using High-Speed Imaging |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T16%3A30%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Online%20Wear%20Detection%20Using%20High-Speed%20Imaging&rft.jtitle=Microscopy%20and%20microanalysis&rft.au=Soleimani,%20Seyfollah&rft.date=2016-08&rft.volume=22&rft.issue=4&rft.spage=820&rft.epage=840&rft.pages=820-840&rft.issn=1431-9276&rft.eissn=1435-8115&rft_id=info:doi/10.1017/S1431927616011387&rft_dat=%3Cproquest_cross%3E1827904913%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1818657204&rft_id=info:pmid/27518066&rft_cupid=10_1017_S1431927616011387&rfr_iscdi=true |