Matches in SemOpenAlex for { <https://semopenalex.org/work/W2062912249> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2062912249 endingPage "774" @default.
- W2062912249 startingPage "763" @default.
- W2062912249 abstract "Calculation of co-occurrence probabilities is a popular method for determining texture features within remotely sensed digital imagery. Typically, the co-occurrence features are calculated by using a grey level co-occurrence matrix (GLCM) to store the co-occurring probabilities. Statistics are applied to the probabilities in the GLCM to generate the texture features. This method is computationally intensive since the matrix is usually sparse leading to many unnecessary calculations involving zero probabilities when applying the statistics. An improvement on the GLCM method is to utilize a grey level co-occurrence linked list (GLCLL) to store only the non-zero co-occurring probabilities. The GLCLL suffers since, to achieve preferred computational speeds, the list should be sorted. An improvement on the GLCLL is to utilize a grey level co-occurrence hybrid structure (GLCHS) based on an integrated hash table and linked list approach. Texture features obtained using this technique are identical to those obtained using the GLCM and GLCLL. The GLCHS method is implemented using the C language in a Unix environment. Based on a Brodatz test image, the GLCHS method is demonstrated to be a superior technique when compared across various window sizes and grey level quantizations. The GLCHS method required, on average, 33.4% (σ=3.08%) of the computational time required by the GLCLL. Significant computational gains are made using the GLCHS method." @default.
- W2062912249 created "2016-06-24" @default.
- W2062912249 creator A5028127027 @default.
- W2062912249 creator A5066149942 @default.
- W2062912249 date "2002-07-01" @default.
- W2062912249 modified "2023-10-18" @default.
- W2062912249 title "Rapid extraction of image texture by co-occurrence using a hybrid data structure" @default.
- W2062912249 cites W2044465660 @default.
- W2062912249 cites W2059532376 @default.
- W2062912249 cites W2117438495 @default.
- W2062912249 cites W2119358129 @default.
- W2062912249 cites W4255443310 @default.
- W2062912249 doi "https://doi.org/10.1016/s0098-3004(01)00108-x" @default.
- W2062912249 hasPublicationYear "2002" @default.
- W2062912249 type Work @default.
- W2062912249 sameAs 2062912249 @default.
- W2062912249 citedByCount "59" @default.
- W2062912249 countsByYear W20629122492012 @default.
- W2062912249 countsByYear W20629122492013 @default.
- W2062912249 countsByYear W20629122492014 @default.
- W2062912249 countsByYear W20629122492015 @default.
- W2062912249 countsByYear W20629122492016 @default.
- W2062912249 countsByYear W20629122492018 @default.
- W2062912249 countsByYear W20629122492019 @default.
- W2062912249 countsByYear W20629122492020 @default.
- W2062912249 crossrefType "journal-article" @default.
- W2062912249 hasAuthorship W2062912249A5028127027 @default.
- W2062912249 hasAuthorship W2062912249A5066149942 @default.
- W2062912249 hasConcept C105795698 @default.
- W2062912249 hasConcept C106487976 @default.
- W2062912249 hasConcept C11413529 @default.
- W2062912249 hasConcept C115961682 @default.
- W2062912249 hasConcept C117479156 @default.
- W2062912249 hasConcept C124101348 @default.
- W2062912249 hasConcept C153180895 @default.
- W2062912249 hasConcept C154945302 @default.
- W2062912249 hasConcept C159985019 @default.
- W2062912249 hasConcept C192562407 @default.
- W2062912249 hasConcept C2781195486 @default.
- W2062912249 hasConcept C2994222927 @default.
- W2062912249 hasConcept C33923547 @default.
- W2062912249 hasConcept C41008148 @default.
- W2062912249 hasConcept C45235069 @default.
- W2062912249 hasConcept C63099799 @default.
- W2062912249 hasConcept C9417928 @default.
- W2062912249 hasConceptScore W2062912249C105795698 @default.
- W2062912249 hasConceptScore W2062912249C106487976 @default.
- W2062912249 hasConceptScore W2062912249C11413529 @default.
- W2062912249 hasConceptScore W2062912249C115961682 @default.
- W2062912249 hasConceptScore W2062912249C117479156 @default.
- W2062912249 hasConceptScore W2062912249C124101348 @default.
- W2062912249 hasConceptScore W2062912249C153180895 @default.
- W2062912249 hasConceptScore W2062912249C154945302 @default.
- W2062912249 hasConceptScore W2062912249C159985019 @default.
- W2062912249 hasConceptScore W2062912249C192562407 @default.
- W2062912249 hasConceptScore W2062912249C2781195486 @default.
- W2062912249 hasConceptScore W2062912249C2994222927 @default.
- W2062912249 hasConceptScore W2062912249C33923547 @default.
- W2062912249 hasConceptScore W2062912249C41008148 @default.
- W2062912249 hasConceptScore W2062912249C45235069 @default.
- W2062912249 hasConceptScore W2062912249C63099799 @default.
- W2062912249 hasConceptScore W2062912249C9417928 @default.
- W2062912249 hasIssue "6" @default.
- W2062912249 hasLocation W20629122491 @default.
- W2062912249 hasOpenAccess W2062912249 @default.
- W2062912249 hasPrimaryLocation W20629122491 @default.
- W2062912249 hasRelatedWork W1564660026 @default.
- W2062912249 hasRelatedWork W1577137544 @default.
- W2062912249 hasRelatedWork W2165984708 @default.
- W2062912249 hasRelatedWork W2364364801 @default.
- W2062912249 hasRelatedWork W2373241674 @default.
- W2062912249 hasRelatedWork W2384195468 @default.
- W2062912249 hasRelatedWork W2384300519 @default.
- W2062912249 hasRelatedWork W2800794254 @default.
- W2062912249 hasRelatedWork W3197040527 @default.
- W2062912249 hasRelatedWork W392739533 @default.
- W2062912249 hasVolume "28" @default.
- W2062912249 isParatext "false" @default.
- W2062912249 isRetracted "false" @default.
- W2062912249 magId "2062912249" @default.
- W2062912249 workType "article" @default.