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A study of a convex variational diffusion approach for image segmentation and feature extraction

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Publication:1384009
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DOI10.1023/A:1008278718907zbMath0895.68145OpenAlexW37521947MaRDI QIDQ1384009

Christoph Schnörr

Publication date: 20 September 1998

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

Full work available at URL: https://doi.org/10.1023/a:1008278718907


zbMATH Keywords

image segmentationMumford-Shah model


Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)


Related Items (3)

Splines in higher order TV regularization ⋮ Combined \(\ell_{2}\) data and gradient fitting in conjunction with \(\ell_{1}\) regularization ⋮ Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns




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