LATE: A Level-Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images

DOI10.1109/TIP.2018.2848471zbMath1409.94444DBLPjournals/tip/MinJZZLL18OpenAlexW2808829191WikidataQ89471390 ScholiaQ89471390MaRDI QIDQ4617501

Yang Zhao, Hai Min, Wei Jia, Yuetong Luo, Wangmeng Zuo, Haibin Ling

Publication date: 6 February 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tip.2018.2848471

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (3)

Active contour driven by adaptively weighted signed pressure force combined with Legendre polynomial for image segmentation ⋮ RVLSM: robust variational level set method for image segmentation with intensity inhomogeneity and high noise ⋮ Image segmentation using level set driven by generalized divergence

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