Multi-level pixel-based texture classification through efficient prototype selection via normalized cut

DOI10.1016/j.patcog.2010.06.014zbMath1207.68300OpenAlexW1979019812MaRDI QIDQ609140

Jaime Melendez, Miguel Angel Garcia, Domenec Puig

Publication date: 30 November 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.06.014

zbMATH Keywords

texture classificationGabor filtersnormalized cutmulti-sized evaluation windows

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Cites Work

• Unnamed Item
• Texture classification and segmentation using wavelet packet frame and Gaussian mixture model
• Color-texture segmentation using unsupervised graph cuts
• Texture classification using logical operators
• EdgeFlow: a technique for boundary detection and image segmentation
• Measuring texture classification algorithms
• Active contours without edges
• Dominant Local Binary Patterns for Texture Classification
• Representing and recognizing the visual appearance of materials using three-dimensional textons

This page was built for publication: Multi-level pixel-based texture classification through efficient prototype selection via normalized cut