Nonparametric MDL segmentation of inhomogeneous images based on Quadratic Local Binary Fitting

Siwei Liu; Frédéric Galland; Nicolas Bertaux

doi:10.1109/icip.2014.7026225

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Nonparametric MDL segmentation of inhomogeneous images based on Quadratic Local Binary Fitting

Siwei Liu Frédéric Galland Nicolas Bertaux

Year: 2014 Vol: 18 Pages: 6071-6075

DOI: 10.1109/icip.2014.7026225

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Keywords:

Segmentation Minimum description length Image segmentation Noise (video) A priori and a posteriori Mathematics Active contour model Nonparametric statistics Intensity (physics) Pattern recognition (psychology) Quadratic equation Artificial intelligence Binary number Probability density function Maximum a posteriori estimation Scale-space segmentation Algorithm Computer science Image (mathematics) Physics Statistics Optics Geometry

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Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Cell Image Analysis Techniques

Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics

Nonparametric MDL segmentation of inhomogeneous images based on Quadratic Local Binary Fitting

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