General framework for rotation invariant texture classification through co-occurrence of patterns

DOI10.1007/s10851-014-0500-9zbMath1312.68223OpenAlexW2042132570MaRDI QIDQ2513433

Francesco Bianconi, Antonio Fernández, Elena González

Publication date: 28 January 2015

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

Full work available at URL: https://doi.org/10.1007/s10851-014-0500-9

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Uses Software

• LIBSVM
• PRTools
• ALOT

Cites Work

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• Object recognition using Gabor co-occurrence similarity
• Image retrieval based on the texton co-occurrence matrix
• The use of bigrams to enhance text categorization.
• Texture description through histograms of equivalent patterns
• Exploiting Cooperative Relay for High Performance Communications in MIMO Ad Hoc Networks
• Dominant Local Binary Patterns for Texture Classification
• A Completed Modeling of Local Binary Pattern Operator for Texture Classification
• Comparison of Texture Analysis Schemes Under Nonideal Conditions
• Measures of Association for Cross Classifications

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