Matches in SemOpenAlex for { <https://semopenalex.org/work/W3117486017> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W3117486017 endingPage "110678" @default.
- W3117486017 startingPage "110678" @default.
- W3117486017 abstract "A digital colour image may be composed of hundreds of thousands of pixels, every pixel exhibiting a single colour. Each colour can be described as a combination of red, green and blue (RGB) components, of discrete values between 0–255. The RGB data contained within the pixels of an image could, therefore, be used to quantitatively establish the colour of nuclear material powders from digital images, particularly for use in nuclear forensics applications, where there is a need for consistent, objective analysis. This paper sets out a standard method for the photography and analysis of digital images of uranium oxide powder, for the objective quantification of colour by mean RGB values. Eight heat treated (up to 550 °C) powder samples of studtite ([(UO2)(O2)(H2O)2]·2H2O) were photographed at room temperature and analysed by the RGB method. Hue, saturation and value of the coloured samples were obtained alongside mean RGB values, both of which were used to successfully determine the heating temperatures of unknown specimens of studtite." @default.
- W3117486017 created "2021-01-05" @default.
- W3117486017 creator A5010719866 @default.
- W3117486017 creator A5032410571 @default.
- W3117486017 creator A5055883877 @default.
- W3117486017 creator A5070346728 @default.
- W3117486017 creator A5074092069 @default.
- W3117486017 creator A5081975520 @default.
- W3117486017 date "2021-02-01" @default.
- W3117486017 modified "2023-09-23" @default.
- W3117486017 title "Objective colour analysis from digital images as a nuclear forensic tool" @default.
- W3117486017 cites W2025575407 @default.
- W3117486017 cites W2081318531 @default.
- W3117486017 cites W2138492504 @default.
- W3117486017 cites W2149065678 @default.
- W3117486017 cites W2168025641 @default.
- W3117486017 cites W2218033635 @default.
- W3117486017 cites W2229943238 @default.
- W3117486017 cites W2260124349 @default.
- W3117486017 cites W2299900370 @default.
- W3117486017 cites W2403129499 @default.
- W3117486017 cites W2414248311 @default.
- W3117486017 cites W2529111691 @default.
- W3117486017 cites W2552631091 @default.
- W3117486017 cites W2914801059 @default.
- W3117486017 doi "https://doi.org/10.1016/j.forsciint.2020.110678" @default.
- W3117486017 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33444895" @default.
- W3117486017 hasPublicationYear "2021" @default.
- W3117486017 type Work @default.
- W3117486017 sameAs 3117486017 @default.
- W3117486017 citedByCount "6" @default.
- W3117486017 countsByYear W31174860172021 @default.
- W3117486017 countsByYear W31174860172022 @default.
- W3117486017 crossrefType "journal-article" @default.
- W3117486017 hasAuthorship W3117486017A5010719866 @default.
- W3117486017 hasAuthorship W3117486017A5032410571 @default.
- W3117486017 hasAuthorship W3117486017A5055883877 @default.
- W3117486017 hasAuthorship W3117486017A5070346728 @default.
- W3117486017 hasAuthorship W3117486017A5074092069 @default.
- W3117486017 hasAuthorship W3117486017A5081975520 @default.
- W3117486017 hasConcept C112416745 @default.
- W3117486017 hasConcept C115961682 @default.
- W3117486017 hasConcept C119657128 @default.
- W3117486017 hasConcept C121684516 @default.
- W3117486017 hasConcept C126537357 @default.
- W3117486017 hasConcept C142362112 @default.
- W3117486017 hasConcept C153349607 @default.
- W3117486017 hasConcept C154945302 @default.
- W3117486017 hasConcept C160633673 @default.
- W3117486017 hasConcept C192562407 @default.
- W3117486017 hasConcept C2909954168 @default.
- W3117486017 hasConcept C31972630 @default.
- W3117486017 hasConcept C33923547 @default.
- W3117486017 hasConcept C41008148 @default.
- W3117486017 hasConcept C42781572 @default.
- W3117486017 hasConcept C82990744 @default.
- W3117486017 hasConcept C9417928 @default.
- W3117486017 hasConceptScore W3117486017C112416745 @default.
- W3117486017 hasConceptScore W3117486017C115961682 @default.
- W3117486017 hasConceptScore W3117486017C119657128 @default.
- W3117486017 hasConceptScore W3117486017C121684516 @default.
- W3117486017 hasConceptScore W3117486017C126537357 @default.
- W3117486017 hasConceptScore W3117486017C142362112 @default.
- W3117486017 hasConceptScore W3117486017C153349607 @default.
- W3117486017 hasConceptScore W3117486017C154945302 @default.
- W3117486017 hasConceptScore W3117486017C160633673 @default.
- W3117486017 hasConceptScore W3117486017C192562407 @default.
- W3117486017 hasConceptScore W3117486017C2909954168 @default.
- W3117486017 hasConceptScore W3117486017C31972630 @default.
- W3117486017 hasConceptScore W3117486017C33923547 @default.
- W3117486017 hasConceptScore W3117486017C41008148 @default.
- W3117486017 hasConceptScore W3117486017C42781572 @default.
- W3117486017 hasConceptScore W3117486017C82990744 @default.
- W3117486017 hasConceptScore W3117486017C9417928 @default.
- W3117486017 hasFunder F4320320287 @default.
- W3117486017 hasLocation W31174860171 @default.
- W3117486017 hasOpenAccess W3117486017 @default.
- W3117486017 hasPrimaryLocation W31174860171 @default.
- W3117486017 hasRelatedWork W1813709440 @default.
- W3117486017 hasRelatedWork W1977806929 @default.
- W3117486017 hasRelatedWork W2035801147 @default.
- W3117486017 hasRelatedWork W2104497863 @default.
- W3117486017 hasRelatedWork W2127700059 @default.
- W3117486017 hasRelatedWork W2139599928 @default.
- W3117486017 hasRelatedWork W2767823485 @default.
- W3117486017 hasRelatedWork W3117486017 @default.
- W3117486017 hasRelatedWork W4213228110 @default.
- W3117486017 hasRelatedWork W86200934 @default.
- W3117486017 hasVolume "319" @default.
- W3117486017 isParatext "false" @default.
- W3117486017 isRetracted "false" @default.
- W3117486017 magId "3117486017" @default.
- W3117486017 workType "article" @default.