Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Chencheng Huang"'
Publikováno v:
Image Analysis and Stereology, Vol 43, Iss 2 (2024)
In this paper, we present a modified local region-based active contour model employing an adaptive double potential well function for image segmentation. Initially, to circumvent the issue of the potential well function's excessive evolutionary pace
Externí odkaz:
https://doaj.org/article/664084a8e87b4c2b86954c3a1cd0b29c
Publikováno v:
IEEE Access, Vol 7, Pp 61226-61239 (2019)
Variational models involving Euler's elastica energy have a wide range of applications in digital image processing. Recently, fast methods, such as the proximal-augmented Lagrangian method (PALM), have been successfully used to solve nonlinear higher
Externí odkaz:
https://doaj.org/article/e482d80c28ff439a92d6fe0e9b3edc42
Autor:
Chencheng Huang, Li Zeng
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0120399 (2015)
Intensity inhomogeneity causes many difficulties in image segmentation and the understanding of magnetic resonance (MR) images. Bias correction is an important method for addressing the intensity inhomogeneity of MR images before quantitative analysi
Externí odkaz:
https://doaj.org/article/73908741754c4e8eb6bcef4af98528a4
Publikováno v:
Materials and Corrosion. 72:1908-1918
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afe57e7c3b8fc3f274cf0c4b60159adc
https://doi.org/10.1002/maco.202112494
https://doi.org/10.1002/maco.202112494
Publikováno v:
Energy & Fuels. 35:2268-2281
Faulting is one of the most common geological features that impacts current gas content (CGC) of coal seams, which is an important parameter for coalbed methane (CBM/gas) production. However, the d...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58b32a68b0db2b9168835042633b6b45
https://doi.org/10.1021/acs.energyfuels.0c04149
https://doi.org/10.1021/acs.energyfuels.0c04149
Publikováno v:
ISICDM
Intensity inhomogeneity is common in medical images and inevitably leads to many challenges for accurate image segmentation. Image segmentation is a foundation step for computer vision and computing. This paper proposes an energy minimization method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb3ace5537eb5dd4acff75069d3eb8fe
https://doi.org/10.1145/3451421.3451443
https://doi.org/10.1145/3451421.3451443
Autor:
Chencheng Huang, Li Zeng
Publikováno v:
Applied Mathematical Modelling. 40:7739-7750
In this paper, we proposed a modified active contour model based on p-Laplace equation for image segmentation. By combining the region information with the variable exponent p-Laplace energy, the modified model can fast and accurately segment the ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be62e1cea30609724a8d7c6212996507
https://doi.org/10.1016/j.apm.2016.03.039
https://doi.org/10.1016/j.apm.2016.03.039
Autor:
Li Zeng, Chencheng Huang
Publikováno v:
Optics and Lasers in Engineering. 66:187-203
It is an important work to segment the real world images with intensity inhomogeneity such as magnetic resonance (MR) and computer tomography (CT) images. In practice, such images are often polluted by noise which make them difficult to be segmented
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bff3db100d4d0f9be983c288defa383e
https://doi.org/10.1016/j.optlaseng.2014.09.005
https://doi.org/10.1016/j.optlaseng.2014.09.005
Autor:
Li Zeng, Chencheng Huang
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0120399 (2015)
PLoS ONE
PLoS ONE
Intensity inhomogeneity causes many difficulties in image segmentation and the understanding of magnetic resonance (MR) images. Bias correction is an important method for addressing the intensity inhomogeneity of MR images before quantitative analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4cbca38ff7bf2d48b2765d6c7aba0b3
http://europepmc.org/articles/PMC4383562?pdf=render
http://europepmc.org/articles/PMC4383562?pdf=render
Publikováno v:
FSKD
Breast cancer is one of the leading cause of death among women. Because of harmless and low cost, ultrasound is one of the most often used methods for breast cancer detection. However, tumor detection is very difficult in ultrasound images due to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1384e90cb6752ffe4a37ec9f525f89af
https://doi.org/10.1109/fskd.2011.6019600
https://doi.org/10.1109/fskd.2011.6019600