Matches in SemOpenAlex for { <https://semopenalex.org/work/W2615593890> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2615593890 endingPage "054701" @default.
- W2615593890 startingPage "054701" @default.
- W2615593890 abstract "The quality of image enhancement plays an important role in the catenary fault diagnosis system based on the image processing technique. It is necessary to enhance the low contrast image of catenary for better detecting the state of catenary part. The Non-subsampled Contourlet transform (NSCT) is the improved Contourlet transform (CT), which can effectively solve the problem of artifact phenomenon in the enhanced catenary image. Besides, choosing the enhancement function and the filter of the NSCT will directly influence the image enhancement effect. In this paper, the proposed method is implemented by combining the NSCT with the nonlinear enhancement function to enhance the catenary image. First, how to choose the filter of the NSCT is discussed. Second, the NSCT is used to decompose the image. Then, the chosen nonlinear enhancement function is used to process the decomposed coefficient of the NSCT. Finally, the NSCT is inversed to obtain the enhanced image. In this paper, we evaluate our algorithm using the lifting wavelet transform, retinex enhancement method, dark channel enhancement method, curvelet transform, and CT method as a comparison to enhance a group of randomly selected low contrast catenary images, respectively. The results of comparative experiments conducted show that the proposed method can effectively enhance the catenary image, the contrast of image is improved, the catenary parts are obvious, and the artifact phenomenon is effectively eliminated, where image details (edges, textures, or smooth areas) are also well preserved. Besides, the values (detail variance-background variance, signal-to-noise ratio, and edge preservation index) of measuring the image enhancement capacity are improved, while the mean squared error value is decreased when compared to the CT method. These indicate that the proposed method is an excellent catenary image enhancement approach." @default.
- W2615593890 created "2017-05-26" @default.
- W2615593890 creator A5048587276 @default.
- W2615593890 creator A5051686143 @default.
- W2615593890 creator A5072750031 @default.
- W2615593890 date "2017-05-01" @default.
- W2615593890 modified "2023-10-18" @default.
- W2615593890 title "Choosing the filter for catenary image enhancement method based on the non-subsampled contourlet transform" @default.
- W2615593890 cites W1812579945 @default.
- W2615593890 cites W1818797774 @default.
- W2615593890 cites W1825152473 @default.
- W2615593890 cites W1834905737 @default.
- W2615593890 cites W1964200220 @default.
- W2615593890 cites W1969538985 @default.
- W2615593890 cites W1988158341 @default.
- W2615593890 cites W2008279993 @default.
- W2615593890 cites W2013220000 @default.
- W2615593890 cites W2014918295 @default.
- W2615593890 cites W2018360753 @default.
- W2615593890 cites W2028369830 @default.
- W2615593890 cites W2051785093 @default.
- W2615593890 cites W2059881008 @default.
- W2615593890 cites W2066146532 @default.
- W2615593890 cites W2068433154 @default.
- W2615593890 cites W2072303335 @default.
- W2615593890 cites W2102149785 @default.
- W2615593890 cites W2106002835 @default.
- W2615593890 cites W2112545418 @default.
- W2615593890 cites W2114531724 @default.
- W2615593890 cites W2115528090 @default.
- W2615593890 cites W2117853853 @default.
- W2615593890 cites W2249671693 @default.
- W2615593890 cites W2276329866 @default.
- W2615593890 cites W2292441838 @default.
- W2615593890 cites W2342810050 @default.
- W2615593890 cites W2345625384 @default.
- W2615593890 cites W2345732485 @default.
- W2615593890 cites W2460933148 @default.
- W2615593890 doi "https://doi.org/10.1063/1.4983375" @default.
- W2615593890 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28571470" @default.
- W2615593890 hasPublicationYear "2017" @default.
- W2615593890 type Work @default.
- W2615593890 sameAs 2615593890 @default.
- W2615593890 citedByCount "5" @default.
- W2615593890 countsByYear W26155938902019 @default.
- W2615593890 countsByYear W26155938902020 @default.
- W2615593890 countsByYear W26155938902022 @default.
- W2615593890 countsByYear W26155938902023 @default.
- W2615593890 crossrefType "journal-article" @default.
- W2615593890 hasAuthorship W2615593890A5048587276 @default.
- W2615593890 hasAuthorship W2615593890A5051686143 @default.
- W2615593890 hasAuthorship W2615593890A5072750031 @default.
- W2615593890 hasConcept C106131492 @default.
- W2615593890 hasConcept C115961682 @default.
- W2615593890 hasConcept C153180895 @default.
- W2615593890 hasConcept C154945302 @default.
- W2615593890 hasConcept C196216189 @default.
- W2615593890 hasConcept C20479862 @default.
- W2615593890 hasConcept C2524010 @default.
- W2615593890 hasConcept C2779010991 @default.
- W2615593890 hasConcept C29279314 @default.
- W2615593890 hasConcept C31972630 @default.
- W2615593890 hasConcept C33923547 @default.
- W2615593890 hasConcept C41008148 @default.
- W2615593890 hasConcept C47432892 @default.
- W2615593890 hasConceptScore W2615593890C106131492 @default.
- W2615593890 hasConceptScore W2615593890C115961682 @default.
- W2615593890 hasConceptScore W2615593890C153180895 @default.
- W2615593890 hasConceptScore W2615593890C154945302 @default.
- W2615593890 hasConceptScore W2615593890C196216189 @default.
- W2615593890 hasConceptScore W2615593890C20479862 @default.
- W2615593890 hasConceptScore W2615593890C2524010 @default.
- W2615593890 hasConceptScore W2615593890C2779010991 @default.
- W2615593890 hasConceptScore W2615593890C29279314 @default.
- W2615593890 hasConceptScore W2615593890C31972630 @default.
- W2615593890 hasConceptScore W2615593890C33923547 @default.
- W2615593890 hasConceptScore W2615593890C41008148 @default.
- W2615593890 hasConceptScore W2615593890C47432892 @default.
- W2615593890 hasIssue "5" @default.
- W2615593890 hasLocation W26155938901 @default.
- W2615593890 hasLocation W26155938902 @default.
- W2615593890 hasOpenAccess W2615593890 @default.
- W2615593890 hasPrimaryLocation W26155938901 @default.
- W2615593890 hasRelatedWork W15853131 @default.
- W2615593890 hasRelatedWork W1809875158 @default.
- W2615593890 hasRelatedWork W1988829224 @default.
- W2615593890 hasRelatedWork W2004163240 @default.
- W2615593890 hasRelatedWork W2041399278 @default.
- W2615593890 hasRelatedWork W2076809581 @default.
- W2615593890 hasRelatedWork W2082791968 @default.
- W2615593890 hasRelatedWork W2163073107 @default.
- W2615593890 hasRelatedWork W2186577434 @default.
- W2615593890 hasRelatedWork W2802455928 @default.
- W2615593890 hasVolume "88" @default.
- W2615593890 isParatext "false" @default.
- W2615593890 isRetracted "false" @default.
- W2615593890 magId "2615593890" @default.
- W2615593890 workType "article" @default.