Independent component analysis for texture segmentation.

DOI10.1016/S0031-3203(03)00131-6zbMath1054.68159MaRDI QIDQ1403792

Torbjørn Eltoft, Robert Jenssen

Publication date: 4 September 2003

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

zbMATH Keywords

Texture segmentationIndependent component analysisData dependent filter bankEnergy featuresImage model

Mathematics Subject Classification ID

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

Related Items (5)

Defect detection of uneven brightness in low-contrast images using basis image representation ⋮ A conditional random field approach to unsupervised texture image segmentation ⋮ Separation theorem for independent subspace analysis and its consequences ⋮ Defect detection in periodically patterned surfaces using independent component analysis ⋮ An independent component analysis-based filter design for defect detection in low-contrast surface images

Uses Software

• FastICA

Cites Work

• Unnamed Item
• Blind separation of sources. II: Problems statement
• Blind separation of sources. III: Stability analysis
• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• Independent component analysis, a new concept?
• Local discriminant bases and their applications
• Independent component analysis applied to feature extraction from colour and stereo images
• Segmentation of textured images based on fractals and image filtering
• Brief review of invariant texture analysis methods

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