Segmentation of vectorial image features using shape gradients and information measures

DOI10.1007/S10851-006-6898-YzbMath1478.94050OpenAlexW2056003166MaRDI QIDQ851842

Michel Barlaud, Stéphanie Jehan-Besson, Stefan Duffner, Ariane Herbulot, Gilles Aubert

Publication date: 22 November 2006

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-006-6898-y

zbMATH Keywords

entropyinformationshape optimizationinformation theoryimage segmentationactive contoursshape gradientjoint probabilitymotion segmentationimage statistics

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

Related Items (3)

Convex histogram-based joint image segmentation with regularized optimal transport cost ⋮ Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization ⋮ Tensor-SIFT based earth mover's distance for contour tracking

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• Image Segmentation Using Active Contours: Calculus of Variations or Shape Gradients?

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