Matches in SemOpenAlex for { <https://semopenalex.org/work/W2028784812> ?p ?o ?g. }
- W2028784812 endingPage "430" @default.
- W2028784812 startingPage "419" @default.
- W2028784812 abstract "The surface quality of the components produced in a grinding process mainly depends on the grinding wheel topography. To maintain the quality of the component, the condition of the grinding wheel should be monitored and the periodical dressing has to be done to retain the shape and the sharpness of the cutting edges. In the present paper, the machine-vision-based texture analysis methods are introduced to discriminate the surface condition of the grinding wheel. The grinding wheel images are acquired using a charge coupled device (CCD) camera at different intervals of time during the process and the texture of the grinding wheel image is analysed using appropriate statistical and fractal methods. The variation of the parameters with the condition of the grinding wheel surface is analysed and presented. The evaluated parameters are clearly discriminating the texture of the grinding wheel at every stage. The methods presented in this paper can be used to assess the grinding wheel condition effectively." @default.
- W2028784812 created "2016-06-24" @default.
- W2028784812 creator A5033643721 @default.
- W2028784812 creator A5055086752 @default.
- W2028784812 date "2007-03-01" @default.
- W2028784812 modified "2023-09-26" @default.
- W2028784812 title "Texture analysis for grinding wheel wear assessment using machine vision" @default.
- W2028784812 cites W1969434154 @default.
- W2028784812 cites W1981434239 @default.
- W2028784812 cites W1989000234 @default.
- W2028784812 cites W1989890904 @default.
- W2028784812 cites W1997214384 @default.
- W2028784812 cites W2003717345 @default.
- W2028784812 cites W2017174465 @default.
- W2028784812 cites W2022608362 @default.
- W2028784812 cites W2042572892 @default.
- W2028784812 cites W2044465660 @default.
- W2028784812 cites W2066604318 @default.
- W2028784812 cites W2068176870 @default.
- W2028784812 cites W2074181469 @default.
- W2028784812 cites W2074647583 @default.
- W2028784812 cites W2076597562 @default.
- W2028784812 cites W2088942940 @default.
- W2028784812 cites W2093882125 @default.
- W2028784812 cites W2103900620 @default.
- W2028784812 cites W2104143361 @default.
- W2028784812 cites W2158270878 @default.
- W2028784812 cites W2170758136 @default.
- W2028784812 doi "https://doi.org/10.1243/09544054jem577" @default.
- W2028784812 hasPublicationYear "2007" @default.
- W2028784812 type Work @default.
- W2028784812 sameAs 2028784812 @default.
- W2028784812 citedByCount "38" @default.
- W2028784812 countsByYear W20287848122012 @default.
- W2028784812 countsByYear W20287848122013 @default.
- W2028784812 countsByYear W20287848122014 @default.
- W2028784812 countsByYear W20287848122015 @default.
- W2028784812 countsByYear W20287848122016 @default.
- W2028784812 countsByYear W20287848122017 @default.
- W2028784812 countsByYear W20287848122018 @default.
- W2028784812 countsByYear W20287848122019 @default.
- W2028784812 countsByYear W20287848122020 @default.
- W2028784812 countsByYear W20287848122021 @default.
- W2028784812 countsByYear W20287848122022 @default.
- W2028784812 countsByYear W20287848122023 @default.
- W2028784812 crossrefType "journal-article" @default.
- W2028784812 hasAuthorship W2028784812A5033643721 @default.
- W2028784812 hasAuthorship W2028784812A5055086752 @default.
- W2028784812 hasConcept C111919701 @default.
- W2028784812 hasConcept C115961682 @default.
- W2028784812 hasConcept C134306372 @default.
- W2028784812 hasConcept C154945302 @default.
- W2028784812 hasConcept C159985019 @default.
- W2028784812 hasConcept C162494671 @default.
- W2028784812 hasConcept C192562407 @default.
- W2028784812 hasConcept C26546657 @default.
- W2028784812 hasConcept C2777571299 @default.
- W2028784812 hasConcept C2779218026 @default.
- W2028784812 hasConcept C2779823094 @default.
- W2028784812 hasConcept C2781195486 @default.
- W2028784812 hasConcept C31972630 @default.
- W2028784812 hasConcept C33923547 @default.
- W2028784812 hasConcept C40636538 @default.
- W2028784812 hasConcept C41008148 @default.
- W2028784812 hasConcept C71039073 @default.
- W2028784812 hasConcept C98045186 @default.
- W2028784812 hasConceptScore W2028784812C111919701 @default.
- W2028784812 hasConceptScore W2028784812C115961682 @default.
- W2028784812 hasConceptScore W2028784812C134306372 @default.
- W2028784812 hasConceptScore W2028784812C154945302 @default.
- W2028784812 hasConceptScore W2028784812C159985019 @default.
- W2028784812 hasConceptScore W2028784812C162494671 @default.
- W2028784812 hasConceptScore W2028784812C192562407 @default.
- W2028784812 hasConceptScore W2028784812C26546657 @default.
- W2028784812 hasConceptScore W2028784812C2777571299 @default.
- W2028784812 hasConceptScore W2028784812C2779218026 @default.
- W2028784812 hasConceptScore W2028784812C2779823094 @default.
- W2028784812 hasConceptScore W2028784812C2781195486 @default.
- W2028784812 hasConceptScore W2028784812C31972630 @default.
- W2028784812 hasConceptScore W2028784812C33923547 @default.
- W2028784812 hasConceptScore W2028784812C40636538 @default.
- W2028784812 hasConceptScore W2028784812C41008148 @default.
- W2028784812 hasConceptScore W2028784812C71039073 @default.
- W2028784812 hasConceptScore W2028784812C98045186 @default.
- W2028784812 hasIssue "3" @default.
- W2028784812 hasLocation W20287848121 @default.
- W2028784812 hasOpenAccess W2028784812 @default.
- W2028784812 hasPrimaryLocation W20287848121 @default.
- W2028784812 hasRelatedWork W2010160189 @default.
- W2028784812 hasRelatedWork W2028784812 @default.
- W2028784812 hasRelatedWork W2348839185 @default.
- W2028784812 hasRelatedWork W2351525842 @default.
- W2028784812 hasRelatedWork W2353194266 @default.
- W2028784812 hasRelatedWork W2374050494 @default.
- W2028784812 hasRelatedWork W2804679098 @default.
- W2028784812 hasRelatedWork W4206253534 @default.
- W2028784812 hasRelatedWork W4306638494 @default.
- W2028784812 hasRelatedWork W2464359579 @default.