Color-texture segmentation using unsupervised graph cuts

DOI10.1016/j.patcog.2008.09.031zbMath1162.68613OpenAlexW1993269503MaRDI QIDQ1010080

J. Martínez

Publication date: 3 April 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.09.031

zbMATH Keywords

energy minimizationimage segmentationgraph cutstexture representation

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

Multi-level pixel-based texture classification through efficient prototype selection via normalized cut ⋮ A reductive approach to hypergraph clustering: an application to image segmentation ⋮ Image segmentation based on the integration of colour-texture descriptors -- a review

Uses Software

• SVMlight
• BSDS

Cites Work

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• A new graph cut-based multiple active contour algorithm without initial contours and seed points
• EdgeFlow: a technique for boundary detection and image segmentation
• The Complexity of Multiterminal Cuts
• The Geometry of Information Retrieval
• Robust Statistics
• Contour and texture analysis for image segmentation
• Representing and recognizing the visual appearance of materials using three-dimensional textons

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