Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901423717> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2901423717 endingPage "155892501801300" @default.
- W2901423717 startingPage "155892501801300" @default.
- W2901423717 abstract "This paper investigates an unsupervised approach for fabric defect detection using un-decimated wavelet decomposition and simple statistical models. A novel data fusion scheme is proposed to merge the information from the different channels into a unique feature map in which potential defective regions will be highlighted distinctly. The distribution of the pixel values corresponding to the defect-free background texture in the feature map is modeled as per the Gumbel distribution model whose parameters are estimated by partitioning the feature map into a set of small patches. By calculating the log-likelihood value of each patch, a log-likelihood map (LLM) can be conveniently created, which provides a good cluster representation of the non-defective regions. A simple thresholding procedure then follows to discriminate between defective regions and homogeneous background in the LLM. The performance of the method has been extensively evaluated using a variety of real fabric samples, and the effectiveness of the proposed scheme has been verified by experimental results in comparison with other methods." @default.
- W2901423717 created "2018-11-29" @default.
- W2901423717 creator A5065571460 @default.
- W2901423717 creator A5068506818 @default.
- W2901423717 date "2018-03-01" @default.
- W2901423717 modified "2023-09-27" @default.
- W2901423717 title "Fabric Defect Detection via Un-Decimated Wavelet Decomposition and Gumbel Distribution Model" @default.
- W2901423717 cites W1588043677 @default.
- W2901423717 cites W1989830484 @default.
- W2901423717 cites W1991572893 @default.
- W2901423717 cites W1992117926 @default.
- W2901423717 cites W1993954744 @default.
- W2901423717 cites W1998666498 @default.
- W2901423717 cites W2005219590 @default.
- W2901423717 cites W2011406694 @default.
- W2901423717 cites W2019483202 @default.
- W2901423717 cites W2025285970 @default.
- W2901423717 cites W2026156619 @default.
- W2901423717 cites W2026445526 @default.
- W2901423717 cites W2031821661 @default.
- W2901423717 cites W2033890762 @default.
- W2901423717 cites W2067173330 @default.
- W2901423717 cites W2076844371 @default.
- W2901423717 cites W2083019068 @default.
- W2901423717 cites W2085525849 @default.
- W2901423717 cites W2090421651 @default.
- W2901423717 cites W2098244152 @default.
- W2901423717 cites W2102669124 @default.
- W2901423717 cites W2116988482 @default.
- W2901423717 cites W2117312310 @default.
- W2901423717 cites W2128272608 @default.
- W2901423717 cites W2137005027 @default.
- W2901423717 cites W2144273095 @default.
- W2901423717 cites W2163251482 @default.
- W2901423717 cites W2168471032 @default.
- W2901423717 cites W2168535318 @default.
- W2901423717 cites W3119306060 @default.
- W2901423717 cites W4255391993 @default.
- W2901423717 doi "https://doi.org/10.1177/155892501801300103" @default.
- W2901423717 hasPublicationYear "2018" @default.
- W2901423717 type Work @default.
- W2901423717 sameAs 2901423717 @default.
- W2901423717 citedByCount "3" @default.
- W2901423717 countsByYear W29014237172021 @default.
- W2901423717 countsByYear W29014237172022 @default.
- W2901423717 countsByYear W29014237172023 @default.
- W2901423717 crossrefType "journal-article" @default.
- W2901423717 hasAuthorship W2901423717A5065571460 @default.
- W2901423717 hasAuthorship W2901423717A5068506818 @default.
- W2901423717 hasBestOaLocation W29014237171 @default.
- W2901423717 hasConcept C105795698 @default.
- W2901423717 hasConcept C115961682 @default.
- W2901423717 hasConcept C137610916 @default.
- W2901423717 hasConcept C138885662 @default.
- W2901423717 hasConcept C147581598 @default.
- W2901423717 hasConcept C153180895 @default.
- W2901423717 hasConcept C154945302 @default.
- W2901423717 hasConcept C191178318 @default.
- W2901423717 hasConcept C2776401178 @default.
- W2901423717 hasConcept C33923547 @default.
- W2901423717 hasConcept C41008148 @default.
- W2901423717 hasConcept C41895202 @default.
- W2901423717 hasConcept C47432892 @default.
- W2901423717 hasConcept C89600930 @default.
- W2901423717 hasConceptScore W2901423717C105795698 @default.
- W2901423717 hasConceptScore W2901423717C115961682 @default.
- W2901423717 hasConceptScore W2901423717C137610916 @default.
- W2901423717 hasConceptScore W2901423717C138885662 @default.
- W2901423717 hasConceptScore W2901423717C147581598 @default.
- W2901423717 hasConceptScore W2901423717C153180895 @default.
- W2901423717 hasConceptScore W2901423717C154945302 @default.
- W2901423717 hasConceptScore W2901423717C191178318 @default.
- W2901423717 hasConceptScore W2901423717C2776401178 @default.
- W2901423717 hasConceptScore W2901423717C33923547 @default.
- W2901423717 hasConceptScore W2901423717C41008148 @default.
- W2901423717 hasConceptScore W2901423717C41895202 @default.
- W2901423717 hasConceptScore W2901423717C47432892 @default.
- W2901423717 hasConceptScore W2901423717C89600930 @default.
- W2901423717 hasIssue "1" @default.
- W2901423717 hasLocation W29014237171 @default.
- W2901423717 hasOpenAccess W2901423717 @default.
- W2901423717 hasPrimaryLocation W29014237171 @default.
- W2901423717 hasRelatedWork W2033000528 @default.
- W2901423717 hasRelatedWork W2185970706 @default.
- W2901423717 hasRelatedWork W2347731544 @default.
- W2901423717 hasRelatedWork W2354804986 @default.
- W2901423717 hasRelatedWork W2386894152 @default.
- W2901423717 hasRelatedWork W2411367154 @default.
- W2901423717 hasRelatedWork W2532775738 @default.
- W2901423717 hasRelatedWork W2541950815 @default.
- W2901423717 hasRelatedWork W2792520941 @default.
- W2901423717 hasRelatedWork W2959862648 @default.
- W2901423717 hasVolume "13" @default.
- W2901423717 isParatext "false" @default.
- W2901423717 isRetracted "false" @default.
- W2901423717 magId "2901423717" @default.
- W2901423717 workType "article" @default.