Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220856824> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4220856824 endingPage "107853" @default.
- W4220856824 startingPage "107853" @default.
- W4220856824 abstract "Side-scan sonar (SSS) has been increasingly utilized in underwater exploration, due to the low energy attenuation of the acoustic wave in water. However, SSS imaging is characterized by its high speckle noises, strong intensity bias and low spatial resolution, which pose challenges to accurately delineate objects in underwater sonar images. This issue is handled by our proposed model that segments sonar images via combining pixel-level and region-level information. Pixel-to-pixel and region-to-region neighboring relations are considered in this model. Formally, the unified Markov random field (UMRF) is combined with the level set (LS) to establish a novel energy function for segmenting underwater sonar images. In such a model, the pixel-level information and region-level information are synergistically integrated by UMRF to force LS evolution. Results obtained by our model convergence can accurately segment underwater sonar images into three partitions: the object, shadow and background. From experimental analysis, our proposed model achieves an excellent tradeoff between the segmentation accuracy and noise resistance in underwater sonar image segmentation. The average correctness of our model reaches 0.9431 which has more than 7% improved to the best conventional method." @default.
- W4220856824 created "2022-04-03" @default.
- W4220856824 creator A5011713040 @default.
- W4220856824 creator A5033632697 @default.
- W4220856824 creator A5044333609 @default.
- W4220856824 creator A5071855419 @default.
- W4220856824 creator A5076709637 @default.
- W4220856824 creator A5087631945 @default.
- W4220856824 date "2022-05-01" @default.
- W4220856824 modified "2023-10-16" @default.
- W4220856824 title "Underwater sonar image segmentation combining pixel-level and region-level information" @default.
- W4220856824 cites W1492417579 @default.
- W4220856824 cites W1517515671 @default.
- W4220856824 cites W1965631193 @default.
- W4220856824 cites W1968836297 @default.
- W4220856824 cites W1969826591 @default.
- W4220856824 cites W1971923777 @default.
- W4220856824 cites W2049783800 @default.
- W4220856824 cites W2083620454 @default.
- W4220856824 cites W2096945473 @default.
- W4220856824 cites W2116040950 @default.
- W4220856824 cites W2132116135 @default.
- W4220856824 cites W2139478903 @default.
- W4220856824 cites W2143182889 @default.
- W4220856824 cites W2165734775 @default.
- W4220856824 cites W2510572670 @default.
- W4220856824 cites W2624147939 @default.
- W4220856824 cites W2625391958 @default.
- W4220856824 cites W2795771894 @default.
- W4220856824 cites W2947240701 @default.
- W4220856824 cites W3014847672 @default.
- W4220856824 cites W3026534984 @default.
- W4220856824 cites W3047190427 @default.
- W4220856824 cites W3048705786 @default.
- W4220856824 cites W3131124680 @default.
- W4220856824 cites W3157557309 @default.
- W4220856824 doi "https://doi.org/10.1016/j.compeleceng.2022.107853" @default.
- W4220856824 hasPublicationYear "2022" @default.
- W4220856824 type Work @default.
- W4220856824 citedByCount "5" @default.
- W4220856824 countsByYear W42208568242022 @default.
- W4220856824 countsByYear W42208568242023 @default.
- W4220856824 crossrefType "journal-article" @default.
- W4220856824 hasAuthorship W4220856824A5011713040 @default.
- W4220856824 hasAuthorship W4220856824A5033632697 @default.
- W4220856824 hasAuthorship W4220856824A5044333609 @default.
- W4220856824 hasAuthorship W4220856824A5071855419 @default.
- W4220856824 hasAuthorship W4220856824A5076709637 @default.
- W4220856824 hasAuthorship W4220856824A5087631945 @default.
- W4220856824 hasConcept C111368507 @default.
- W4220856824 hasConcept C124504099 @default.
- W4220856824 hasConcept C127313418 @default.
- W4220856824 hasConcept C154945302 @default.
- W4220856824 hasConcept C160633673 @default.
- W4220856824 hasConcept C181255713 @default.
- W4220856824 hasConcept C205649164 @default.
- W4220856824 hasConcept C31972630 @default.
- W4220856824 hasConcept C41008148 @default.
- W4220856824 hasConcept C555745239 @default.
- W4220856824 hasConcept C62649853 @default.
- W4220856824 hasConcept C89600930 @default.
- W4220856824 hasConcept C98083399 @default.
- W4220856824 hasConceptScore W4220856824C111368507 @default.
- W4220856824 hasConceptScore W4220856824C124504099 @default.
- W4220856824 hasConceptScore W4220856824C127313418 @default.
- W4220856824 hasConceptScore W4220856824C154945302 @default.
- W4220856824 hasConceptScore W4220856824C160633673 @default.
- W4220856824 hasConceptScore W4220856824C181255713 @default.
- W4220856824 hasConceptScore W4220856824C205649164 @default.
- W4220856824 hasConceptScore W4220856824C31972630 @default.
- W4220856824 hasConceptScore W4220856824C41008148 @default.
- W4220856824 hasConceptScore W4220856824C555745239 @default.
- W4220856824 hasConceptScore W4220856824C62649853 @default.
- W4220856824 hasConceptScore W4220856824C89600930 @default.
- W4220856824 hasConceptScore W4220856824C98083399 @default.
- W4220856824 hasLocation W42208568241 @default.
- W4220856824 hasOpenAccess W4220856824 @default.
- W4220856824 hasPrimaryLocation W42208568241 @default.
- W4220856824 hasRelatedWork W1669643531 @default.
- W4220856824 hasRelatedWork W2005437358 @default.
- W4220856824 hasRelatedWork W2008656436 @default.
- W4220856824 hasRelatedWork W2023558673 @default.
- W4220856824 hasRelatedWork W2023680342 @default.
- W4220856824 hasRelatedWork W2134924024 @default.
- W4220856824 hasRelatedWork W2337415362 @default.
- W4220856824 hasRelatedWork W2517104666 @default.
- W4220856824 hasRelatedWork W3085844478 @default.
- W4220856824 hasRelatedWork W4312857205 @default.
- W4220856824 hasVolume "100" @default.
- W4220856824 isParatext "false" @default.
- W4220856824 isRetracted "false" @default.
- W4220856824 workType "article" @default.