A Nonparametric Statistical Snake Model Using the Gradient Flow of Minimum Probability Density Integration

Nonparametric statistical snakes, constructed under the independent and identically distributed assumption, are an important class of methods for cluttered image segmentation. However, in application, when object or background contains more than one subregions with different intensity distributions,...

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Veröffentlicht in:	Journal of mathematical imaging and vision 2018-09, Vol.60 (7), p.1150-1166
Hauptverfasser:	Li, Qiang, Deng, Tingquan
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications of Mathematics Computer Science Contours Convergence Energy conservation Gradient flow Image Processing and Computer Vision Image segmentation Mathematical Methods in Physics Mathematical models Nonparametric statistics Shape Signal,Image and Speech Processing Snakes Statistical analysis
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