Zobrazeno 1 - 10
of 286
pro vyhledávání: '"Xue-Cheng Tai"'
Publikováno v:
International Journal of Biomedical Imaging, Vol 2007 (2007)
In positron emission tomography (PET), a radioactive compound is injected into the body to promote a tissue-dependent emission rate. Expectation maximization (EM) reconstruction algorithms are iterative techniques which estimate the concentration coe
Externí odkaz:
https://doaj.org/article/2f251a2c9d1146c19574f7ec36455f8d
Publikováno v:
Multiscale Modeling & Simulation; 2024, Vol. 22 Issue 4, p1449-1477, 29p
Publikováno v:
SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 4, pC479-C507, 29p
Publikováno v:
SIAM Journal on Imaging Sciences; 2024, Vol. 17 Issue 1, p540-594, 55p
Publikováno v:
SIAM Journal on Imaging Sciences; 2024, Vol. 17 Issue 1, p1-30, 30p
Publikováno v:
SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 1, pA290-A312, 23p
Publikováno v:
SIAM Journal on Scientific Computing. 44:A935-A963
Gaussian curvature is an important geometric property of surfaces, which has been used broadly in mathematical modeling. Due to the full nonlinearity of the Gaussian curvature, efficient numerical methods for models based on it are uncommon in litera
Publikováno v:
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030986605
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030030094
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030030094
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ceb29f5729d353bfe25a2de94ecfb96a
https://doi.org/10.1007/978-3-030-98661-2_84
https://doi.org/10.1007/978-3-030-98661-2_84
Publikováno v:
Applied Mathematical Modelling. 100:218-239
Image segmentation aims to extract the target objects or to identify the corresponding boundaries. For corrupted images due to occlusions, obscurities or noises, to get an accurate segmentation result is very difficult. To overcome this issue, the pr
Publikováno v:
Journal of Mathematical Imaging and Vision. 64:68-88
In practice, the objects of interest have some shape priors, which would be destroyed by occlusions, distortions and noises. Therefore, the characterization of the shape priors attracts increasing attention. This paper is devoted to characterization