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Min, Hai, Jia, Wei, Wang, Xiao-Feng, Zhao, Yang, Luo, Yue-Tong (2018) A polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity. Pattern Recognition, 73. 15-32 doi:10.1016/j.patcog.2017.07.002

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Reference TypeJournal (article/letter/editorial)
TitleA polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity
JournalPattern Recognition
AuthorsMin, HaiAuthor
Jia, WeiAuthor
Wang, Xiao-FengAuthor
Zhao, YangAuthor
Luo, Yue-TongAuthor
Year2018 (January)Volume73
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.07.002Search in ResearchGate
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Mindat Ref. ID9367126Long-form Identifiermindat:1:5:9367126:6
GUID0
Full ReferenceMin, Hai, Jia, Wei, Wang, Xiao-Feng, Zhao, Yang, Luo, Yue-Tong (2018) A polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity. Pattern Recognition, 73. 15-32 doi:10.1016/j.patcog.2017.07.002
Plain TextMin, Hai, Jia, Wei, Wang, Xiao-Feng, Zhao, Yang, Luo, Yue-Tong (2018) A polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity. Pattern Recognition, 73. 15-32 doi:10.1016/j.patcog.2017.07.002
In(2018) Pattern Recognition Vol. 73. Elsevier BV

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