Application of Feature Recognition to Hydrostatic Leveling Systems
We present a technical solution using the method of image recognition in hydrostatic leveling systems. An algorithm is developed to determine fluid level relative to fixed markers. We present results of an experiment to estimate the error of the feature detection method for a hydrostatic leveling sy...
Gespeichert in:
Veröffentlicht in: | Measurement techniques 2016-07, Vol.59 (4), p.405-409 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 409 |
---|---|
container_issue | 4 |
container_start_page | 405 |
container_title | Measurement techniques |
container_volume | 59 |
creator | Epin, V. V. Tsvetkov, R. V. Shestakov, A. P. |
description | We present a technical solution using the method of image recognition in hydrostatic leveling systems. An algorithm is developed to determine fluid level relative to fixed markers. We present results of an experiment to estimate the error of the feature detection method for a hydrostatic leveling system with two gauges. |
doi_str_mv | 10.1007/s11018-016-0980-7 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1835626390</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A470461414</galeid><sourcerecordid>A470461414</sourcerecordid><originalsourceid>FETCH-LOGICAL-c492t-fa8d053bba5339f74e6a829d565cdfc2c3d9e70a7dd5b5b872480bd857ea27553</originalsourceid><addsrcrecordid>eNp10ctq3DAUBmBRWug07QN0Z-imXTg5sqzbchqaCwwUknYtZPnYKHisqSSXzNtXibNICkELweH7xUE_IZ8pnFIAeZYoBapqoKIGraCWb8iGcslqpUG8JRvgLaupls178iGlOwBgUugN-b49HCbvbPZhrsJQXaDNS8TqBl0YZ_84zqG6OvYxpFyYq3b4Fyc_j9XtMWXcp4_k3WCnhJ-e7hPy--LHr_Orevfz8vp8u6tdq5tcD1b1wFnXWc6YHmSLwqpG91xw1w-ucazXKMHKvucd75RsWgVdr7hE20jO2Qn5ur57iOHPgimbvU8Op8nOGJZkqGJcNIJpKPTLf_QuLHEu2xUlOAMFghZ1uqrRTmj8PIQcrSunx713YcbBl_m2ldAK2tK2BL69CBST8T6PdknJXN_evLR0ta58XIo4mEP0exuPhoJ5qMyslZlSmXmozMiSadZMKnYeMT5b-9XQP7Znlw4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1865308061</pqid></control><display><type>article</type><title>Application of Feature Recognition to Hydrostatic Leveling Systems</title><source>SpringerLink Journals - AutoHoldings</source><creator>Epin, V. V. ; Tsvetkov, R. V. ; Shestakov, A. P.</creator><creatorcontrib>Epin, V. V. ; Tsvetkov, R. V. ; Shestakov, A. P.</creatorcontrib><description>We present a technical solution using the method of image recognition in hydrostatic leveling systems. An algorithm is developed to determine fluid level relative to fixed markers. We present results of an experiment to estimate the error of the feature detection method for a hydrostatic leveling system with two gauges.</description><identifier>ISSN: 0543-1972</identifier><identifier>EISSN: 1573-8906</identifier><identifier>DOI: 10.1007/s11018-016-0980-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Analytical Chemistry ; Cameras ; Characterization and Evaluation of Materials ; Error detection ; Feature recognition ; Fluid dynamics ; Fluids ; Hydrostatics ; Image processing ; Leveling ; Machine vision ; Markers ; Measurement Science and Instrumentation ; Measurement techniques ; Mechanical Measurements ; Method of images ; Object recognition ; Physical Chemistry ; Physics ; Physics and Astronomy ; Pressure gauges ; Sensors ; Studies ; Vision systems</subject><ispartof>Measurement techniques, 2016-07, Vol.59 (4), p.405-409</ispartof><rights>Springer Science+Business Media New York 2016</rights><rights>COPYRIGHT 2016 Springer</rights><rights>Measurement Techniques is a copyright of Springer, 2016.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c492t-fa8d053bba5339f74e6a829d565cdfc2c3d9e70a7dd5b5b872480bd857ea27553</citedby><cites>FETCH-LOGICAL-c492t-fa8d053bba5339f74e6a829d565cdfc2c3d9e70a7dd5b5b872480bd857ea27553</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11018-016-0980-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11018-016-0980-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Epin, V. V.</creatorcontrib><creatorcontrib>Tsvetkov, R. V.</creatorcontrib><creatorcontrib>Shestakov, A. P.</creatorcontrib><title>Application of Feature Recognition to Hydrostatic Leveling Systems</title><title>Measurement techniques</title><addtitle>Meas Tech</addtitle><description>We present a technical solution using the method of image recognition in hydrostatic leveling systems. An algorithm is developed to determine fluid level relative to fixed markers. We present results of an experiment to estimate the error of the feature detection method for a hydrostatic leveling system with two gauges.</description><subject>Algorithms</subject><subject>Analytical Chemistry</subject><subject>Cameras</subject><subject>Characterization and Evaluation of Materials</subject><subject>Error detection</subject><subject>Feature recognition</subject><subject>Fluid dynamics</subject><subject>Fluids</subject><subject>Hydrostatics</subject><subject>Image processing</subject><subject>Leveling</subject><subject>Machine vision</subject><subject>Markers</subject><subject>Measurement Science and Instrumentation</subject><subject>Measurement techniques</subject><subject>Mechanical Measurements</subject><subject>Method of images</subject><subject>Object recognition</subject><subject>Physical Chemistry</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Pressure gauges</subject><subject>Sensors</subject><subject>Studies</subject><subject>Vision systems</subject><issn>0543-1972</issn><issn>1573-8906</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp10ctq3DAUBmBRWug07QN0Z-imXTg5sqzbchqaCwwUknYtZPnYKHisqSSXzNtXibNICkELweH7xUE_IZ8pnFIAeZYoBapqoKIGraCWb8iGcslqpUG8JRvgLaupls178iGlOwBgUugN-b49HCbvbPZhrsJQXaDNS8TqBl0YZ_84zqG6OvYxpFyYq3b4Fyc_j9XtMWXcp4_k3WCnhJ-e7hPy--LHr_Orevfz8vp8u6tdq5tcD1b1wFnXWc6YHmSLwqpG91xw1w-ucazXKMHKvucd75RsWgVdr7hE20jO2Qn5ur57iOHPgimbvU8Op8nOGJZkqGJcNIJpKPTLf_QuLHEu2xUlOAMFghZ1uqrRTmj8PIQcrSunx713YcbBl_m2ldAK2tK2BL69CBST8T6PdknJXN_evLR0ta58XIo4mEP0exuPhoJ5qMyslZlSmXmozMiSadZMKnYeMT5b-9XQP7Znlw4</recordid><startdate>20160701</startdate><enddate>20160701</enddate><creator>Epin, V. V.</creator><creator>Tsvetkov, R. V.</creator><creator>Shestakov, A. P.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7U5</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L6V</scope><scope>L7M</scope><scope>M0C</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20160701</creationdate><title>Application of Feature Recognition to Hydrostatic Leveling Systems</title><author>Epin, V. V. ; Tsvetkov, R. V. ; Shestakov, A. P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c492t-fa8d053bba5339f74e6a829d565cdfc2c3d9e70a7dd5b5b872480bd857ea27553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Algorithms</topic><topic>Analytical Chemistry</topic><topic>Cameras</topic><topic>Characterization and Evaluation of Materials</topic><topic>Error detection</topic><topic>Feature recognition</topic><topic>Fluid dynamics</topic><topic>Fluids</topic><topic>Hydrostatics</topic><topic>Image processing</topic><topic>Leveling</topic><topic>Machine vision</topic><topic>Markers</topic><topic>Measurement Science and Instrumentation</topic><topic>Measurement techniques</topic><topic>Mechanical Measurements</topic><topic>Method of images</topic><topic>Object recognition</topic><topic>Physical Chemistry</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Pressure gauges</topic><topic>Sensors</topic><topic>Studies</topic><topic>Vision systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Epin, V. V.</creatorcontrib><creatorcontrib>Tsvetkov, R. V.</creatorcontrib><creatorcontrib>Shestakov, A. P.</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Measurement techniques</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Epin, V. V.</au><au>Tsvetkov, R. V.</au><au>Shestakov, A. P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of Feature Recognition to Hydrostatic Leveling Systems</atitle><jtitle>Measurement techniques</jtitle><stitle>Meas Tech</stitle><date>2016-07-01</date><risdate>2016</risdate><volume>59</volume><issue>4</issue><spage>405</spage><epage>409</epage><pages>405-409</pages><issn>0543-1972</issn><eissn>1573-8906</eissn><abstract>We present a technical solution using the method of image recognition in hydrostatic leveling systems. An algorithm is developed to determine fluid level relative to fixed markers. We present results of an experiment to estimate the error of the feature detection method for a hydrostatic leveling system with two gauges.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11018-016-0980-7</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0543-1972 |
ispartof | Measurement techniques, 2016-07, Vol.59 (4), p.405-409 |
issn | 0543-1972 1573-8906 |
language | eng |
recordid | cdi_proquest_miscellaneous_1835626390 |
source | SpringerLink Journals - AutoHoldings |
subjects | Algorithms Analytical Chemistry Cameras Characterization and Evaluation of Materials Error detection Feature recognition Fluid dynamics Fluids Hydrostatics Image processing Leveling Machine vision Markers Measurement Science and Instrumentation Measurement techniques Mechanical Measurements Method of images Object recognition Physical Chemistry Physics Physics and Astronomy Pressure gauges Sensors Studies Vision systems |
title | Application of Feature Recognition to Hydrostatic Leveling Systems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T13%3A31%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Application%20of%20Feature%20Recognition%20to%20Hydrostatic%20Leveling%20Systems&rft.jtitle=Measurement%20techniques&rft.au=Epin,%20V.%20V.&rft.date=2016-07-01&rft.volume=59&rft.issue=4&rft.spage=405&rft.epage=409&rft.pages=405-409&rft.issn=0543-1972&rft.eissn=1573-8906&rft_id=info:doi/10.1007/s11018-016-0980-7&rft_dat=%3Cgale_proqu%3EA470461414%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1865308061&rft_id=info:pmid/&rft_galeid=A470461414&rfr_iscdi=true |