Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034349541> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2034349541 abstract "Commercial dishwashing systems currently involve human loading, sorting, inspecting, and unloading dishes and silverware pieces before and after washing in hot and humid environments. In such difficult working conditions, leading to high turn-over of low-paid employees, automation is desirable, especially in large-scale kitchens of hospitals, navy ships, schools, hotels and other dining facilities. Our project is a part of developing an integrated machine vision sorting and inspecting system for mixed dish pieces and silverware exiting a flight-type commercial dishwashing machine, coupled with automatic loading and unloading. We propose two new methods for automatically inspecting dish cleanliness, namely adaptive thresholding and maximum saliency map. On the first method, a new technique using partitioning and adaptive thresholding, combined with global thresholding are introduced. On the second method, we propose a new normalization technique. Both algorithms are fast, simple, and produce results invariant with lighting conditions and dish rotation about the camera-dish axis. Algorithms are written and tested by MatlabÒ R14 and Image Processing Toolbox V5.0 to 110 dish images taken in different lighting condition using different position of 51 separate dishes (either clean or dirty) of our dish set, in which 77 images are from dirty dishes with 799 dirty points in these dishes. The adaptive thresholding method produces 95.0% and 96.5% accuracies in discriminating clean from dirty dishes and dirty spot detection, respectively. While the maximum saliency map method produces 100% accuracies in discriminating clean from dirty dishes and 93.5% accuracies in and dirty spot detection." @default.
- W2034349541 created "2016-06-24" @default.
- W2034349541 creator A5016575549 @default.
- W2034349541 creator A5022237778 @default.
- W2034349541 creator A5056665406 @default.
- W2034349541 date "2011-12-01" @default.
- W2034349541 modified "2023-09-25" @default.
- W2034349541 title "Automatic Dishware Inspection: Applications and Comparisons of Two New Methods" @default.
- W2034349541 cites W1497599070 @default.
- W2034349541 cites W189676591 @default.
- W2034349541 cites W1969258103 @default.
- W2034349541 cites W2054802006 @default.
- W2034349541 cites W2066839474 @default.
- W2034349541 cites W2145934637 @default.
- W2034349541 cites W2171727778 @default.
- W2034349541 doi "https://doi.org/10.1109/icmla.2011.40" @default.
- W2034349541 hasPublicationYear "2011" @default.
- W2034349541 type Work @default.
- W2034349541 sameAs 2034349541 @default.
- W2034349541 citedByCount "1" @default.
- W2034349541 countsByYear W20343495412018 @default.
- W2034349541 crossrefType "proceedings-article" @default.
- W2034349541 hasAuthorship W2034349541A5016575549 @default.
- W2034349541 hasAuthorship W2034349541A5022237778 @default.
- W2034349541 hasAuthorship W2034349541A5056665406 @default.
- W2034349541 hasConcept C111696304 @default.
- W2034349541 hasConcept C11413529 @default.
- W2034349541 hasConcept C115901376 @default.
- W2034349541 hasConcept C115961682 @default.
- W2034349541 hasConcept C127413603 @default.
- W2034349541 hasConcept C136886441 @default.
- W2034349541 hasConcept C144024400 @default.
- W2034349541 hasConcept C154945302 @default.
- W2034349541 hasConcept C191178318 @default.
- W2034349541 hasConcept C19165224 @default.
- W2034349541 hasConcept C31972630 @default.
- W2034349541 hasConcept C41008148 @default.
- W2034349541 hasConcept C5339829 @default.
- W2034349541 hasConcept C78519656 @default.
- W2034349541 hasConceptScore W2034349541C111696304 @default.
- W2034349541 hasConceptScore W2034349541C11413529 @default.
- W2034349541 hasConceptScore W2034349541C115901376 @default.
- W2034349541 hasConceptScore W2034349541C115961682 @default.
- W2034349541 hasConceptScore W2034349541C127413603 @default.
- W2034349541 hasConceptScore W2034349541C136886441 @default.
- W2034349541 hasConceptScore W2034349541C144024400 @default.
- W2034349541 hasConceptScore W2034349541C154945302 @default.
- W2034349541 hasConceptScore W2034349541C191178318 @default.
- W2034349541 hasConceptScore W2034349541C19165224 @default.
- W2034349541 hasConceptScore W2034349541C31972630 @default.
- W2034349541 hasConceptScore W2034349541C41008148 @default.
- W2034349541 hasConceptScore W2034349541C5339829 @default.
- W2034349541 hasConceptScore W2034349541C78519656 @default.
- W2034349541 hasLocation W20343495411 @default.
- W2034349541 hasOpenAccess W2034349541 @default.
- W2034349541 hasPrimaryLocation W20343495411 @default.
- W2034349541 hasRelatedWork W2206981914 @default.
- W2034349541 hasRelatedWork W2433463573 @default.
- W2034349541 hasRelatedWork W2595545601 @default.
- W2034349541 hasRelatedWork W2614514103 @default.
- W2034349541 hasRelatedWork W2774783005 @default.
- W2034349541 hasRelatedWork W2791729216 @default.
- W2034349541 hasRelatedWork W2893844675 @default.
- W2034349541 hasRelatedWork W3094397876 @default.
- W2034349541 hasRelatedWork W3108789450 @default.
- W2034349541 hasRelatedWork W3208385473 @default.
- W2034349541 hasRelatedWork W427810109 @default.
- W2034349541 hasRelatedWork W2464342798 @default.
- W2034349541 hasRelatedWork W2865537008 @default.
- W2034349541 hasRelatedWork W2872691408 @default.
- W2034349541 hasRelatedWork W2873548454 @default.
- W2034349541 hasRelatedWork W2923474339 @default.
- W2034349541 hasRelatedWork W3090625608 @default.
- W2034349541 hasRelatedWork W3117017096 @default.
- W2034349541 hasRelatedWork W3132668244 @default.
- W2034349541 hasRelatedWork W3136403887 @default.
- W2034349541 isParatext "false" @default.
- W2034349541 isRetracted "false" @default.
- W2034349541 magId "2034349541" @default.
- W2034349541 workType "article" @default.