Vote for your favorite mineral in #MinCup25! - Titanite vs. Thortveitite
It's a pair of T-minerals with as versatile #titanite faces off against the home of rare earth elements #thortveitite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Cai, Qing, Liu, Huiying, Zhou, Sanping, Sun, Jingfeng, Li, Jing (2018) An adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation. Pattern Recognition, 82. 79-93 doi:10.1016/j.patcog.2018.05.008

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAn adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation
JournalPattern Recognition
AuthorsCai, QingAuthor
Liu, HuiyingAuthor
Zhou, SanpingAuthor
Sun, JingfengAuthor
Li, JingAuthor
Year2018 (October)Volume82
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.05.008Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367481Long-form Identifiermindat:1:5:9367481:0
GUID0
Full ReferenceCai, Qing, Liu, Huiying, Zhou, Sanping, Sun, Jingfeng, Li, Jing (2018) An adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation. Pattern Recognition, 82. 79-93 doi:10.1016/j.patcog.2018.05.008
Plain TextCai, Qing, Liu, Huiying, Zhou, Sanping, Sun, Jingfeng, Li, Jing (2018) An adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation. Pattern Recognition, 82. 79-93 doi:10.1016/j.patcog.2018.05.008
In(2018) Pattern Recognition Vol. 82. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Cai, Qing, Liu, Huiying, Qian, Yiming, Zhou, Sanping, Duan, Xiaojun, Yang, Yee-Hong (2019) Saliency-guided level set model for automatic object segmentation. Pattern Recognition, 93. 147-163 doi:10.1016/j.patcog.2019.04.019
Zhang, Fan, Liu, Huiying, Wang, Jinjiang, Lyu, Jun, Cai, Qing, Li, Huafeng, Dong, Junyu, Zhang, David (2024) Cross co-teaching for semi-supervised medical image segmentation. Pattern Recognition, 152. 110426 doi:10.1016/j.patcog.2024.110426
Han, Bin, Wu, Yiquan (2020) Active contour model for inhomogenous image segmentation based on Jeffreys divergence. Pattern Recognition, 107. 107520pp. doi:10.1016/j.patcog.2020.107520
Wang, Haijun, Liu, Ming (2017) A Novel Active Contour Model for Image Segmentation and Bias Correction Using Guided Image Filtering Regularization Term. International Journal of Pattern Recognition and Artificial Intelligence, 31. 1754013pp. doi:10.1142/s0218001417540131
Ying, Zheng, Guangyao, Li, Xiehua, Sun, Xinmin, Zhou (2009) Geometric active contours without re-initialization for image segmentation. Pattern Recognition, 42 (9). 1970-1976 doi:10.1016/j.patcog.2008.12.020
Jiang, Xin; Feng, Chong; Han, Tianyi; Wu, Boying; Yang, Yunyun (2026) Active contour model combining frequency domain information for noisy vessel image segmentation. Pattern Recognition, 171. doi:10.1016/j.patcog.2025.112126
Dai, Lingzheng, Ding, Jundi, Yang, Jian (2015) Inhomogeneity-embedded active contour for natural image segmentation. Pattern Recognition, 48 (8). 2513-2529 doi:10.1016/j.patcog.2015.03.001
Han, Bin, Wu, Yiquan (2017) A novel active contour model based on modified symmetric cross entropy for remote sensing river image segmentation. Pattern Recognition, 67. 396-409 doi:10.1016/j.patcog.2017.02.022
Niu, Sijie, Chen, Qiang, de Sisternes, Luis, Ji, Zexuan, Zhou, Zeming, Rubin, Daniel L. (2017) Robust noise region-based active contour model via local similarity factor for image segmentation. Pattern Recognition, 61. 104-119 doi:10.1016/j.patcog.2016.07.022
Liu, Bo, Cheng, H.D., Huang, Jianhua, Tian, Jiawei, Tang, Xianglong, Liu, Jiafeng (2010) Probability density difference-based active contour for ultrasound image segmentation. Pattern Recognition, 43 (6). 2028-2042 doi:10.1016/j.patcog.2010.01.002
Wang, Jiayun, Zhou, Sanping, Wang, Jinjun, Hou, Qiqi (2018) Deep ranking model by large adaptive margin learning for person re-identification. Pattern Recognition, 74. 241-252 doi:10.1016/j.patcog.2017.09.024
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 11, 2025 07:29:25
Go to top of page