Classification of image pixels based on minimum distance and hypothesis testing

DOI10.1016/j.csda.2012.01.005zbMath1252.94011OpenAlexW2067698084MaRDI QIDQ693232

M. C. Fu

Publication date: 7 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2097/14048

zbMATH Keywords

image processinghypothesis testingimage segmentationimage classificationminimum distance

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Hypothesis testing in multivariate analysis (62H15) Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Polynomial splines and their tensor products in extended linear modeling. (With discussions)
• On the limiting distributions of multivariate depth-based rank sum statistics and related tests
• Test-based classification: A linkage between classification and statistical testing

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