Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation

DOI10.1109/TIP.2018.2792904zbMath1409.94298arXiv1708.00180WikidataQ89559958 ScholiaQ89559958MaRDI QIDQ4617189

Martin Storath, Martin Kiechle, Andreas Weinmann, Martin Kleinsteuber

Publication date: 6 February 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1708.00180

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

Active contour driven by adaptively weighted signed pressure force combined with Legendre polynomial for image segmentation ⋮ Lifting-based variational multiclass segmentation algorithm: design, convergence analysis, and implementation with applications in medical imaging

This page was built for publication: Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation