Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xuya Liu"'
Publikováno v:
IEEE Access, Vol 8, Pp 124158-124171 (2020)
In recent years, sparse representation theory and low-rank approximation model have been widely used in signal and image processing fields. In the study of natural image denoising, non-local similarity method can enhance the correlation of grouped im
Externí odkaz:
https://doaj.org/article/17d8ad73f7c34cbd8b19778e0be85fef
Publikováno v:
IET Image Processing, Vol 13, Iss 7, Pp 1115-1123 (2019)
In the traditional active contour models, global region‐based methods fail to segment images with intensity inhomogeneity, and local region‐based methods are sensitive to initial contour. In this study, a novel fuzzy energy‐based active contour
Externí odkaz:
https://doaj.org/article/83efd0c48587419abeefe8c72b63e376
Publikováno v:
IEEE Access, Vol 5, Pp 7753-7761 (2017)
Vascular diseases cause a wide range of severe health problems. Vessel images are often corrupted by intensity inhomogeneity and blurry boundary, which makes it difficult to segment vessel image to identify vascular lesions. Integrating the fuzzy dec
Externí odkaz:
https://doaj.org/article/fcab4ee1b8c6403caef0a9c04da35e2e
Publikováno v:
Multimedia Tools and Applications. 82:3433-3458
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05df7db0d5c045c5a0a3326499bcbbac
https://doi.org/10.1007/s11042-022-12635-3
https://doi.org/10.1007/s11042-022-12635-3
Publikováno v:
Polymer Journal. 54:1071-1079
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::575d6b0a22374557b60718c6086b2667
https://doi.org/10.1038/s41428-022-00664-6
https://doi.org/10.1038/s41428-022-00664-6
Publikováno v:
IEEE Access, Vol 8, Pp 124158-124171 (2020)
In recent years, sparse representation theory and low-rank approximation model have been widely used in signal and image processing fields. In the study of natural image denoising, non-local similarity method can enhance the correlation of grouped im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f86d1adfffadb78f32e91bb2d65f136f
https://ieeexplore.ieee.org/document/9125940/
https://ieeexplore.ieee.org/document/9125940/
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e622aded0826ab4abb1a82ab2208838
https://doi.org/10.2139/ssrn.4314775
https://doi.org/10.2139/ssrn.4314775
Publikováno v:
IET Image Processing. 13:1115-1123
In the traditional active contour models, global region-based methods fail to segment images with intensity inhomogeneity, and local region-based methods are sensitive to initial contour. In this study, a novel fuzzy energy-based active contour model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aed9aa7af3aff5d5d2a5aad33d47877a
https://doi.org/10.1049/iet-ipr.2018.5420
https://doi.org/10.1049/iet-ipr.2018.5420
Publikováno v:
IEEE Access, Vol 5, Pp 7753-7761 (2017)
Vascular diseases cause a wide range of severe health problems. Vessel images are often corrupted by intensity inhomogeneity and blurry boundary, which makes it difficult to segment vessel image to identify vascular lesions. Integrating the fuzzy dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcdd0661d5897356a5b4385f3f5f3724
https://ieeexplore.ieee.org/document/7911311/
https://ieeexplore.ieee.org/document/7911311/