Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386408979> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4386408979 endingPage "7624" @default.
- W4386408979 startingPage "7624" @default.
- W4386408979 abstract "In the manufacturing industry, inspection systems play a crucial role in ensuring product quality. High-resolution profilometric sensors have become increasingly popular for inspection due to their ability to provide detailed surface information. However, the development and testing of inspection systems can be costly and time-consuming. This paper presents the development of a simulation of an inspection system using a high-resolution profilometric sensor. A geometrical and noise model is proposed to simulate the readings of any actual profilometric sensor. The model replicates the sensor's movement on the CAD model of the inspected part. The model incorporates the physical properties of the sensor and combines noise sources from sensor uncertainty and speckle noise induced by the roughness of the material. Our contribution lies in noise modeling. This work proposes a combination of Perlin noise to simulate the speckle noise and Gaussian noise for the uncertainty-related noise. Perlin noise is generated based on the surface roughness parameters of the inspected part. The accuracy of the simulation system is evaluated by comparing the simulated scans with real scans. The results highlight the ability to simulate real scans of different parts, using commercial sensor specifications and the CAD model of the inspected part." @default.
- W4386408979 created "2023-09-05" @default.
- W4386408979 creator A5022257112 @default.
- W4386408979 creator A5060483774 @default.
- W4386408979 creator A5061164621 @default.
- W4386408979 creator A5092737246 @default.
- W4386408979 date "2023-09-02" @default.
- W4386408979 modified "2023-09-27" @default.
- W4386408979 title "Simulation of Laser Profilometer Measurements in the Presence of Speckle Using Perlin Noise" @default.
- W4386408979 cites W105225125 @default.
- W4386408979 cites W1964055865 @default.
- W4386408979 cites W2004762748 @default.
- W4386408979 cites W2005548195 @default.
- W4386408979 cites W2147675181 @default.
- W4386408979 cites W2169216879 @default.
- W4386408979 cites W2178948257 @default.
- W4386408979 cites W2476760014 @default.
- W4386408979 cites W2751418040 @default.
- W4386408979 cites W2900911323 @default.
- W4386408979 cites W3004986231 @default.
- W4386408979 cites W3008805481 @default.
- W4386408979 cites W3110916913 @default.
- W4386408979 cites W4239515185 @default.
- W4386408979 cites W4249954177 @default.
- W4386408979 cites W4255277853 @default.
- W4386408979 cites W4255375128 @default.
- W4386408979 cites W4283757815 @default.
- W4386408979 doi "https://doi.org/10.3390/s23177624" @default.
- W4386408979 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37688081" @default.
- W4386408979 hasPublicationYear "2023" @default.
- W4386408979 type Work @default.
- W4386408979 citedByCount "0" @default.
- W4386408979 crossrefType "journal-article" @default.
- W4386408979 hasAuthorship W4386408979A5022257112 @default.
- W4386408979 hasAuthorship W4386408979A5060483774 @default.
- W4386408979 hasAuthorship W4386408979A5061164621 @default.
- W4386408979 hasAuthorship W4386408979A5092737246 @default.
- W4386408979 hasBestOaLocation W43864089791 @default.
- W4386408979 hasConcept C102290492 @default.
- W4386408979 hasConcept C107365816 @default.
- W4386408979 hasConcept C115961682 @default.
- W4386408979 hasConcept C121332964 @default.
- W4386408979 hasConcept C127413603 @default.
- W4386408979 hasConcept C154945302 @default.
- W4386408979 hasConcept C159985019 @default.
- W4386408979 hasConcept C180940675 @default.
- W4386408979 hasConcept C192562407 @default.
- W4386408979 hasConcept C24890656 @default.
- W4386408979 hasConcept C31972630 @default.
- W4386408979 hasConcept C41008148 @default.
- W4386408979 hasConcept C71039073 @default.
- W4386408979 hasConcept C78519656 @default.
- W4386408979 hasConcept C79261456 @default.
- W4386408979 hasConcept C99498987 @default.
- W4386408979 hasConceptScore W4386408979C102290492 @default.
- W4386408979 hasConceptScore W4386408979C107365816 @default.
- W4386408979 hasConceptScore W4386408979C115961682 @default.
- W4386408979 hasConceptScore W4386408979C121332964 @default.
- W4386408979 hasConceptScore W4386408979C127413603 @default.
- W4386408979 hasConceptScore W4386408979C154945302 @default.
- W4386408979 hasConceptScore W4386408979C159985019 @default.
- W4386408979 hasConceptScore W4386408979C180940675 @default.
- W4386408979 hasConceptScore W4386408979C192562407 @default.
- W4386408979 hasConceptScore W4386408979C24890656 @default.
- W4386408979 hasConceptScore W4386408979C31972630 @default.
- W4386408979 hasConceptScore W4386408979C41008148 @default.
- W4386408979 hasConceptScore W4386408979C71039073 @default.
- W4386408979 hasConceptScore W4386408979C78519656 @default.
- W4386408979 hasConceptScore W4386408979C79261456 @default.
- W4386408979 hasConceptScore W4386408979C99498987 @default.
- W4386408979 hasIssue "17" @default.
- W4386408979 hasLocation W43864089791 @default.
- W4386408979 hasLocation W43864089792 @default.
- W4386408979 hasOpenAccess W4386408979 @default.
- W4386408979 hasPrimaryLocation W43864089791 @default.
- W4386408979 hasRelatedWork W1998444485 @default.
- W4386408979 hasRelatedWork W2002966609 @default.
- W4386408979 hasRelatedWork W2025842828 @default.
- W4386408979 hasRelatedWork W2052750227 @default.
- W4386408979 hasRelatedWork W2066310329 @default.
- W4386408979 hasRelatedWork W2157782456 @default.
- W4386408979 hasRelatedWork W2392046118 @default.
- W4386408979 hasRelatedWork W2566568178 @default.
- W4386408979 hasRelatedWork W4323356933 @default.
- W4386408979 hasRelatedWork W630529609 @default.
- W4386408979 hasVolume "23" @default.
- W4386408979 isParatext "false" @default.
- W4386408979 isRetracted "false" @default.
- W4386408979 workType "article" @default.